Join our talent pool by simply submitting your resume. We’ll inform you about the new jobs matching your profile and update you if you are the best fit for one of our open positions.

Join Talent Pool

<div style="">Designation : Platform Engineer</div><div style="">Location : Chennai | Bangalore | Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 3900+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modelled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.</div><div style="">We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><div style="">• Platform Provisioning: Design and implement scalable Azure &amp; Databricks environments using Infrastructure as Code (IaC) tools such as Terraform and Ansible. Develop repeatable and reliable provisioning processes to meet project and operational requirements.</div><div style=""><br></div><div style="">•Project Enablement: Collaborate with project teams to understand requirements and enable successful deployment and management of Azure resources. Provide technical expertise and guidance to ensure that project goals are met efficiently and effectively.</div><div style=""><br></div><div style="">•Architectural Design: Work with architects and engineering teams to design complex Azure &amp; Databricks solutions that align with best practices and industry standards. Review and validate architectural designs for new projects and ensure seamless integration with existing systems.</div><div style=""><br></div><div style="">• Automation &amp; CI/CD: Develop and maintain automation workflows for resource provisioning and configuration management. Implement and manage CI/CD pipelines using Azure DevOps and GitHub to streamline deployment processes and ensure continuous integration and delivery.</div><div style=""><br></div><div style="">• Optimization &amp; Performance: Analyze and optimize Azure resources to enhance performance, scalability, and cost-efficiency. Implement best practices for resource management and provide recommendations for system improvements.</div><div style=""><br></div><div style="">•Security &amp; Compliance: Ensure that Azure environments comply with security policies and regulatory requirements. Perform security assessments, implement best practices for data protection, and address vulnerabilities proactively.</div><div style=""><br></div><div style="">•Documentation &amp; Handover: Create and maintain a comprehensive inventory of all provisioned projects, including detailed resource information and configurations. Ensure that all documentation is accurate, up-to-date, and properly handed over to Platform Support Engineers for ongoing sustainment and operational activities.</div><div style=""><br></div><div style="">•Knowledge Sharing: Share knowledge and provide training to Platform Support Engineers and other team members to enhance their understanding of the projects and resources. Maintain clear and effective documentation for all provisioning and operational processes.</div><div style=""><br></div><div style="">•Stakeholder Communication: Engage with internal stakeholders, including project managers, developers, and executives, to provide updates on project progress, technical issues, and solutions. Ensure clear and effective communication throughout the project lifecycle.</div><div style=""><br></div><div style="">•Continuous Improvement: Stay current with emerging Azure &amp; Databricks technologies and industry trends. Identify opportunities for process enhancements and contribute to the development of new tools and strategies to improve cloud operations.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Required Qualifications:</b></div><div style="">•Technical Expertise: Extensive experience with Azure services, including advanced knowledge of Azure Virtual Machines, Azure Kubernetes Service (AKS) Azure App Service Environments (ASE), Azure Functions and Web Apps, Azure Networking, Azure SQL Database, Azure Data Factory, Azure Databricks, and Azure Entra ID. Proficient in Terraform for infrastructure provisioning and Ansible for configuration management.</div><div style=""><br></div><div style="">•Experience: 7+ years of experience in a technical role with a focus on cloud technologies, including at least 5 years working with Azure &amp; Databricks. Demonstrated experience in project enablement, cloud solution design, and detailed documentation.</div><div style=""><br></div><div style="">•Skills: Strong problem-solving skills and the ability to design and implement complex cloud architectures. Proficiency in using Azure DevOps for CI/CD pipelines and GitHub for version control.</div><div style=""><br></div><div style="">•Certifications: Microsoft Certified: Azure Solutions Architect Expert (AZ-305) or equivalent advanced certification is required. Additional certifications (e.g., Microsoft Certified: Azure DevOps Engineer Expert) are a plus.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Desired Attributes:</b></div><div style="">•Project Management: Ability to manage and enable projects by providing technical support and guidance throughout the project lifecycle, including detailed documentation and handover processes.</div><div style=""><br></div><div style="">•Customer Focus: Commitment to delivering high-quality solutions that meet the needs of stakeholders and enhance overall project success.</div><div style=""><br></div><div style="">•Innovative Thinking: Ability to apply creative solutions to complex challenges and continuously improve cloud provisioning and deployment processes.</div><div style=""><br></div><div style="">•Team Collaboration: Strong interpersonal skills with the ability to work effectively with cross-functional teams and support collaborative project environments.</div><div style="">Perks of working with Tiger Analytics</div><div style=""><br></div><div style="">•Latest Technology: You will get to work on the most advanced technologies like machine learning and artificial intelligence.</div><div style=""><br></div><div style="">•Global Exposure: We work for leading global brands. You will get exposure to global markets while working with international clients.</div><div style=""><br></div><div style="">•Learning &amp; Development: We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow.</div><div style=""><br></div><div style="">•Growth Mindset: We encourage a growth mindset and believe that learning never stops. There is no pressure on you to be a master of everything. With this attitude, we can make significant progress in areas that we know very little about</div><div style="">today. Here, you’ll work with people with a collective passion to explore the limitless potential of data to solve complex problems.</div><div style=""><br></div><div style="">•Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, fun, and knowledge communities.</div><div style=""><br></div><div style="">We believe in equal opportunities for all and invite you to come join us as we build the world’s best AI and advanced analytics team. Our compensation packages are competitive and among the best in the industry. Your designation will be commensurate with expertise and experience.</div><div style=""><br></div><div style="">www.tigeranalytics.com</div><div style=""><br></div>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

Platform Engineer

<div style=""><b style="font-weight: 700">Job Title : AIML Engineer-(AI FullStack Developer)</b></div><div style=""><b style="font-weight: 700">Location</b> <b style="font-weight: 700">: </b>&nbsp;Chennai, Bangalore, Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly skilled <b style="font-weight: 700">AI Full Stack Developer</b> with <b style="font-weight: 700">5–6 years of experience</b> in Artificial Intelligence and full-stack application development. The ideal candidate should have hands-on experience in delivering <b style="font-weight: 700">production-grade AI solutions</b>, with proven involvement in at least <b style="font-weight: 700">two end-to-end AI projects</b> deployed in production environments.</div><div style="">The candidate should possess strong expertise in AI application development, cloud infrastructure, deployment, and AgentOps practices to build scalable, reliable, and enterprise-ready AI solutions.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Skills &amp; Responsibilities</b></div><ul>  <li style="">Design, develop, and deploy end-to-end AI-powered applications using modern AI frameworks and full-stack technologies.</li>  <li style="">Build and deliver production-grade AI solutions with a focus on scalability, reliability, and performance.</li>  <li style="">Develop, deploy, and manage AI agents and agent-based workflows in enterprise environments.</li>  <li style="">Collaborate with cross-functional teams to integrate AI capabilities into business applications.</li>  <li style="">Optimize AI models and applications for production deployment and operational efficiency.</li>  <li style="">Implement cloud-native AI solutions on Microsoft Azure.</li>  <li style="">Manage application deployment using containerization and orchestration technologies such as Docker and Kubernetes.</li>  <li style="">Establish and maintain AgentOps and MLOps best practices for model lifecycle management, monitoring, and continuous improvement.</li>  <li style="">Ensure high availability, observability, and performance of AI applications in production.</li></ul><div style=""><b style="font-weight: 700">Required Skills:</b></div><ul>  <li style="">4-6 years of relevant AI development experience.</li>  <li style="">Experience building end-to-end AI applications using modern AI frameworks and APIs.</li>  <li style="">Strong understanding of backend and frontend development for AI-powered applications.</li>  <li style="">Experience developing and integrating AI agents and intelligent workflows.</li>  <li style="">Hands-on experience managing production AI environments.</li>  <li style="">Strong understanding of AgentOps practices, including: Model versioning<br>Continuous monitoring<br>Production deployment lifecycle management<br>Performance monitoring and optimization<br>Incident management and operational support</li>  <li style="">Experience designing and scaling AI applications on <b style="font-weight: 700">Microsoft Azure</b>.</li>  <li style="">Knowledge of cloud-native architectures and scalable infrastructure design.</li>  <li style="">Practical experience with:Docker<br>Kubernetes</li>  <li style="">Experience building and managing CI/CD pipelines for AI applications.</li>  <li style="">Knowledge of containerized deployments and orchestration for enterprise environments.</li></ul><div style=""><b style="font-weight: 700">Preferred Skills</b></div><ul>  <li style="">Experience with enterprise AI platforms and Large Language Model (LLM) applications.</li>  <li style="">Exposure to Retrieval-Augmented Generation (RAG), AI agents, and multi-agent architectures.</li>  <li style="">Understanding of AI governance, security, and responsible AI practices.</li>  <li style="">Excellent analytical, problem-solving, and communication skills.</li></ul><div style=""><br></div>

AIML Engineer-(AI FullStack Developer)

<div style=""><b style="font-weight: 700">Job Title : AIML Engineer - &nbsp;Python+GenAI</b></div><div style=""><b style="font-weight: 700">Location</b> <b style="font-weight: 700">: Chennai, Bangalore, Hyderabad&nbsp;</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">About the Role:</b></div><div style="">We are seeking a highly skilled Python Developer with hands-on experience in Generative AI to design, develop, and deploy AI-powered applications. The ideal candidate will have strong expertise in Python programming, experience working with Large Language Models (LLMs), and the ability to build scalable AI solutions using modern frameworks and cloud technologies.</div><div style="">You will collaborate with cross-functional teams to develop intelligent applications, automate business processes, and integrate GenAI capabilities into enterprise platforms.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><ul>  <li style="">Design, develop, test, and maintain scalable Python applications.</li>  <li style="">Build and deploy Generative AI solutions using Large Language Models (LLMs).</li>  <li style="">Develop AI-powered applications such as chatbots, virtual assistants, document intelligence, and workflow automation solutions.</li>  <li style="">Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.</li>  <li style="">Integrate AI models through APIs from providers such as OpenAI, Anthropic, Google Gemini, Azure OpenAI, or open-source LLMs.</li>  <li style="">Develop prompt engineering strategies to improve model performance and response quality.</li>  <li style="">Build AI agents using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar orchestration frameworks.</li>  <li style="">Optimize AI application performance, latency, scalability, and cost.</li>  <li style="">Create RESTful APIs using FastAPI, Flask, or Django.</li>  <li style="">Work with structured and unstructured data for AI model integration.</li>  <li style="">Collaborate with product managers, data scientists, and DevOps teams throughout the software development lifecycle.</li>  <li style="">Write clean, maintainable, and well-documented code following best practices.</li>  <li style="">Participate in code reviews, architecture discussions, and technical design sessions.</li>  <li style="">Stay current with advancements in Python, Generative AI, LLMs, and AI engineering best practices.</li></ul><div style=""><b style="font-weight: 700">Required Qualifications:</b></div><ul>  <li style="">Expert-level proficiency in Python.</li>  <li style="">Strong understanding of object-oriented programming (OOP), data structures, algorithms, and design patterns.</li>  <li style="">Experience with multithreading, multiprocessing, asynchronous programming (asyncio), and performance optimization.</li>  <li style="">Experience building REST APIs using FastAPI, Flask, or Django.</li>  <li style="">Knowledge of testing frameworks such as PyTest or UnitTest.</li>  <li style="">Hands-on experience developing applications using Large Language Models (LLMs).</li>  <li style="">Experience with prompt engineering and prompt optimization.</li>  <li style="">Strong understanding of Retrieval-Augmented Generation (RAG).</li>  <li style="">Experience with vector databases such as Pinecone, FAISS, Chroma, Milvus, or Weaviate.</li>  <li style="">Experience using AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or Semantic Kernel.</li>  <li style="">Experience integrating OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or open-source models (Llama, Mistral, DeepSeek, etc.).</li>  <li style="">Familiarity with AI agents, function/tool calling, memory management, and agent orchestration.</li>  <li style="">Understanding of model evaluation, guardrails, hallucination mitigation, and responsible AI practices.</li></ul><h4 style="font-size: 1em">Databases</h4><ul>  <li style="">PostgreSQL</li>  <li style="">MySQL</li>  <li style="">MongoDB</li>  <li style="">Redis</li>  <li style="">Vector Databases</li></ul><h4 style="font-size: 1em">Cloud &amp; DevOps</h4><ul>  <li style="">AWS, Azure, or Google Cloud Platform</li>  <li style="">Docker</li>  <li style="">Kubernetes (preferred)</li>  <li style="">CI/CD pipelines</li>  <li style="">Git/GitHub/GitLab</li></ul><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities</div><div style=""><br></div>

TA India - Chennai - CLO

AIML Engineer - Python+GenAI

<div style=""><br></div><div style=""><br></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. &nbsp;We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. &nbsp;Our team of 7000+ technologists and consultants is based in the US, Canada, the UK, India, Singapore and &nbsp;Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and &nbsp;Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. &nbsp;We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, &nbsp;Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., &nbsp;Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style="">We are looking for a professional who will ensure the stability, accuracy, and performance of GenAI systems in production. The role spans incident resolution, pipeline orchestration, model monitoring, and seamless integration with product frontends, all while adhering to SLA commitments.</div><div style=""><br></div><h3 style="font-size: 1.17em">Key Responsibilities</h3><ul>  <li style=""><b style="font-weight: 700">Production Support</b>: Address and resolve production incidents as per SLA, including user troubleshooting.</li>  <li style=""><b style="font-weight: 700">Data Pipeline Monitoring</b>: Monitor pipelines, detect failures, and implement corrective actions to maintain uninterrupted data flow.</li>  <li style=""><b style="font-weight: 700">Model Performance Oversight</b>: Track drift, latency, and accuracy of deployed models; apply corrections and ensure retraining cycles do not disrupt service.</li>  <li style=""><b style="font-weight: 700">Dashboard &amp; Data Accuracy</b>: Manage dashboard refreshes and resolve data accuracy issues.</li>  <li style=""><b style="font-weight: 700">Service Requests</b>: Handle and resolve service requests with efficiency and timeliness.</li></ul><div style=""><br></div><div style=""><br></div>

Lead System Engineer -  AI Ops 

<div style=""><b style="font-weight: 700">Architect / Sr. Architect – GenAI &amp; AI Platforms (Data &amp; AI)</b></div><div style=""><b style="font-weight: 700">Bihar</b></div><div style=""><b style="font-weight: 700">Who &nbsp;&nbsp;we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping &nbsp;&nbsp;Fortune 1000 companies solve their toughest challenges. We offer full-stack &nbsp;&nbsp;AI and analytics services &amp; solutions to empower businesses to achieve &nbsp;&nbsp;real outcomes and value at scale. We are on a mission to push the boundaries &nbsp;&nbsp;of what AI and analytics can do to help enterprises navigate uncertainty and &nbsp;&nbsp;move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients &nbsp;&nbsp;across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, &nbsp;&nbsp;exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We &nbsp;&nbsp;have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists &nbsp;&nbsp;by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style=""><b style="font-weight: 700">We are looking for an Architect / Sr. Architect – GenAI &amp; AI Platforms, to lead the design and development of a &nbsp;&nbsp;strategic enterprise AI platform. In this role, you will work closely with &nbsp;&nbsp;senior leadership, including founders, to define the platform vision and &nbsp;&nbsp;architect scalable, production-grade AI systems powered by LLMs and modern AI &nbsp;&nbsp;technologies.</b> <b style="font-weight: 700">This &nbsp;&nbsp;platform will act as a digital twin of our existing systems-an intelligent bot/ Platform that provides real-time insights on what needs to be done and &nbsp;&nbsp;how to do it.</b></div><div style="">If you're passionate about Generative AI, LLMs, and cutting-edge technology, and you enjoy building high-impact solutions, we’d love to hear from you! As an <b style="font-weight: 700">Architect/Sr. Architect</b> &nbsp;on the Data and AI team, you will:</div><div style=""><b style="font-weight: 700">1. Define &amp; Architect AI Platforms</b></div><ul>  <li style="">Lead the architecture of an enterprise-grade AI platform (digital twin) integrating multiple data and system layers</li>  <li style="">Design scalable, modular, and extensible system architectures for GenAI-powered applications</li>  <li style="">Make key design decisions across model selection, orchestration, data flows, and system integration</li></ul><div style=""><b style="font-weight: 700">2. Build Intelligent GenAI Systems</b></div><ul>  <li style="">Architect LLM-powered systems including copilots, decision-support systems, and agentic workflows</li>  <li style="">Define patterns for retrieval-augmented generation (RAG), context management, and reasoning pipelines</li>  <li style="">Enable real-time intelligence and actionability through AI-driven insights</li></ul><div style=""><b style="font-weight: 700">3. Drive Engineering Excellence &amp; Scale</b></div><ul>  <li style="">Establish best practices for system design, code quality, and platform reliability</li>  <li style="">Oversee development of high-performance, scalable backend systems and APIs</li>  <li style="">Ensure robust deployment architectures across cloud environments (AWS/GCP/Azure)</li></ul><div style=""><b style="font-weight: 700">4. Integrate Across Enterprise Ecosystems</b></div><ul>  <li style="">Lead integration of AI platform with existing enterprise systems and data pipelines</li>  <li style="">Ensure scalability, security, and compliance in production environments</li>  <li style="">Design microservices-based architectures for seamless interoperability</li></ul><div style=""><b style="font-weight: 700">5. Lead, Mentor &amp; Influence</b></div><ul>  <li style="">Work closely with leadership to translate strategic vision into execution.</li>  <li style="">Mentor engineering teams and guide technical decision-making.</li>  <li style="">Collaborate with clients and stakeholders to drive adoption of AI solutions.</li>  <li style="">Contribute to building reusable accelerators and internal AI platforms.</li></ul><div style=""><b style="font-weight: 700">What do we expect?</b></div><div style=""><b style="font-weight: 700">Key skills</b></div><div style="">· Overall, 7.5+ to 13 years of experience with relevant experience in MLE/MLOps/AI Engg.</div><div style="">· <b style="font-weight: 700">Proven experience in designing and architecting scalable AI/ML systems.</b></div><div style="">· Experience in leading a team as well as handling customer stakeholders.</div><div style="">· Proven expertise in working with LLMs, Generative AI, and Agentic AI technologies.</div><div style="">· <b style="font-weight: 700">Experience with cloud-native architectures (Azure, AWS, GCP) and distributed systems.</b></div><div style="">· <b style="font-weight: 700">Hands-on experience with MLOps, Kubernetes, and CI/CD pipelines.</b></div><div style="">· Strong proficiency in backend development using Python frameworks (such as Django/Flask) or other similar technologies.</div><div style="">· In-depth understanding of APIs, microservices architecture, and cloud-based deployment strategies.</div><div style="">· Ability to drive collaboration across cross-functional teams and lead projects in a dynamic, fast-paced &nbsp;&nbsp;environment.</div><div style="">· Experience in mentoring and guiding teams, fostering collaboration across cross-functional groups.</div><div style="">· Passion for innovation, with the ability to stay updated with emerging technologies and apply them to solve complex challenges.</div><div style=""><b style="font-weight: 700">What makes this role exciting</b></div><div style="">· <b style="font-weight: 700">Opportunity to architect a flagship AI platform from the ground up.</b></div><div style="">· <b style="font-weight: 700">Direct collaboration with senior leadership and founders.</b></div><div style="">· <b style="font-weight: 700">Work on cutting-edge GenAI systems with real enterprise impact .</b></div><div style="">· <b style="font-weight: 700">Influence long-term AI strategy and platform direction.</b></div><div style=""><b style="font-weight: 700">*If you have expertise in any of the above &nbsp;&nbsp;skills then let us know and we will align opportunities with your strengths &nbsp;&nbsp;and support upskilling.</b></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes &nbsp;&nbsp;for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style="">Note: The designation will be commensurate with expertise and experience.&nbsp;</div>

Architect / Sr. Architect – GenAI & AI Platforms (Data and AI)

<div style=""><b style="font-weight: 700">Senior / Lead/Senior Lead GenAI Engineer - Data and AI&nbsp;</b></div><div style=""><b style="font-weight: 700">Pune</b></div><div style=""><b style="font-weight: 700">Who &nbsp;&nbsp;we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping &nbsp;&nbsp;Fortune 1000 companies solve their toughest challenges. We offer full-stack &nbsp;&nbsp;AI and analytics services &amp; solutions to empower businesses to achieve &nbsp;&nbsp;real outcomes and value at scale. We are on a mission to push the boundaries &nbsp;&nbsp;of what AI and analytics can do to help enterprises navigate uncertainty and &nbsp;&nbsp;move forward decisively. Our purpose is to provide certainty to shape a &nbsp;&nbsp;better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, &nbsp;&nbsp;Canada, the UK, India, Singapore and Australia, working closely with clients &nbsp;&nbsp;across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and &nbsp;&nbsp;Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, &nbsp;&nbsp;exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-25), recognized by &nbsp;&nbsp;analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We &nbsp;&nbsp;have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists &nbsp;&nbsp;by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">The AI Developer is responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value across the enterprise. This role combines deep technical expertise in AI/ML frameworks, data engineering, and software development to build production-grade intelligent systems — including predictive models, natural language processing applications, computer vision solutions, and generative AI capabilities. The AI Developer collaborates closely with data scientists, software engineers, product owners, and business stakeholders to translate complex business requirements into scalable, reliable AI-powered applications. The ideal candidate is a hands-on engineer who thrives at the intersection of research and production, bringing innovative AI concepts from prototype to enterprise deployment.</div><div style=""><b style="font-weight: 700">Key Responsibilities / Essential Duties</b></div><ul>  <li style="">Design and develop machine learning models, deep learning architectures, and AI solutions to address business challenges across the organization.</li>  <li style="">Build end-to-end ML pipelines — including data ingestion, feature engineering, model training, evaluation, and deployment — using industry-standard tools and cloud platforms.</li>  <li style="">Develop and integrate RESTful APIs and microservices to serve AI/ML models in production environments with high availability and low latency.</li>  <li style="">Implement generative AI solutions leveraging large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, and fine-tuning techniques.</li>  <li style="">Collaborate with data scientists, data engineers, and software development teams to translate research prototypes into scalable, production-ready applications.</li>  <li style="">Optimize model performance through hyperparameter tuning, feature selection, A/B testing, and continuous monitoring of model drift and accuracy.</li>  <li style="">Architect scalable AI infrastructure using cloud-native services (Azure AI, AWS SageMaker, or GCP Vertex AI) and containerization technologies (Docker, Kubernetes).</li>  <li style="">Maintain robust MLOps practices including version control for models and data, automated retraining pipelines, CI/CD for ML workflows, and model governance.</li>  <li style="">Ensure responsible AI practices by implementing fairness, explainability, bias detection, and compliance measures aligned with organizational policies and regulatory requirements.</li>  <li style="">Evaluate emerging AI technologies, frameworks, and research papers to identify opportunities for innovation and competitive advantage.</li>  <li style="">Document technical designs, model architectures, experiment results, and deployment procedures to ensure knowledge sharing and reproducibility.</li>  <li style="">Mentor junior developers and cross-functional team members on AI/ML best practices, coding standards, and emerging technologies.</li></ul><div style=""><b style="font-weight: 700">Qualifications</b></div><div style=""><b style="font-weight: 700">Education</b></div><ul>  <li style="">Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related technical field (required).</li>  <li style="">Master’s degree or Ph.D. in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline (preferred).</li></ul><div style=""><b style="font-weight: 700">Experience:</b></div><ul>  <li style="">Minimum professional experience as per the Level in software development with a focus on AI/ML application development.</li>  <li style="">Minimum of hands-on experience as per the Level building, training, and deploying machine learning models in production environments.</li>  <li style="">Demonstrated experience with end-to-end ML pipelines and MLOps practices in a cloud-based environment.</li>  <li style="">Experience in a regulated industry (pharmaceutical, healthcare, or life sciences) is a plus.</li>  <li style="">Certifications (Required / Preferred)</li>  <li style="">Microsoft Certified: Azure AI Engineer Associate or AWS Certified Machine Learning — Specialty — Required (one of the two).</li>  <li style="">Google Professional Machine Learning Engineer — Preferred.</li>  <li style="">NVIDIA Deep Learning Institute (DLI) Certification — Preferred.</li>  <li style="">Stanford / DeepLearning.AI Professional Certificate in Machine Learning or Deep Learning — Preferred.</li></ul><div style=""><b style="font-weight: 700">Knowledge, Skills &amp; Abilities:</b></div><ul>  <li style="">Expert-level proficiency in Python and its AI/ML ecosystem including TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, and LangChain.</li>  <li style="">Strong experience with cloud AI/ML services such as Azure Machine Learning, Azure OpenAI Service, AWS SageMaker, or GCP Vertex AI.</li>  <li style="">Proficiency in data manipulation and analysis using Pandas, NumPy, Spark, and SQL across structured and unstructured datasets.</li>  <li style="">Hands-on experience with MLOps tools and practices including MLflow, Kubeflow, Azure ML Pipelines, and automated model retraining workflows.</li>  <li style="">Solid understanding of deep learning architectures including CNNs, RNNs, Transformers, GANs, and diffusion models.</li>  <li style="">Experience with generative AI technologies including large language models (GPT, Claude, LLaMA), vector databases (Pinecone, Weaviate, FAISS), and RAG frameworks.</li>  <li style="">Proficiency in containerization and orchestration technologies (Docker, Kubernetes) and CI/CD pipelines (Azure DevOps, GitHub Actions).</li>  <li style="">Strong software engineering fundamentals including object-oriented design, design patterns, version control (Git), and code review best practices.</li>  <li style="">Excellent communication skills with the ability to explain complex AI concepts to non-technical stakeholders and translate business requirements into technical solutions.</li>  <li style="">Strong analytical and problem-solving abilities with a research-oriented mindset and commitment to staying current with rapidly evolving AI advancements.</li></ul><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a &nbsp;different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal-opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style="">Note: The designation will be commensurate with expertise and experience.&nbsp;</div><div style=""><br></div>

Senior / Lead/Senior Lead GenAI Engineer - Data and AI

<div style=""><b style="font-weight: 700">Job Title: &nbsp;AIML Engineer (Data Science)</b></div><div style=""><b style="font-weight: 700">Locations: ChennaI 5 Days WFO</b></div><div style=""><b style="font-weight: 700">Notice period : Immediate to 30 Days</b></div><div style=""><b style="font-weight: 700">Skills &nbsp;: Data Science, Model Building, Python, Mode Deployment&nbsp;</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are looking for a Data Scientist / Machine Learning Engineer with strong experience in machine learning and real-time stream data processing. The ideal candidate will have hands-on expertise in building scalable ML solutions, developing streaming data pipelines, and working with modern cloud-native technologies.</div><div style=""><br></div><div style="">This role requires experience working with Kafka-based event streaming platforms, AWS services, and large-scale data processing environments. The candidate will be responsible for designing, developing, deploying, and monitoring machine learning solutions that support business-critical applications.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Develop, train, evaluate, and deploy machine learning models for predictive analytics and business optimization use cases.</li>  <li style="">Design and implement scalable data pipelines for batch and real-time data processing.</li>  <li style="">Build &nbsp;streaming data solutions using Kafka and event-driven architectures.</li>  <li style="">Develop robust data ingestion, transformation, and feature engineering workflows using Python.</li>  <li style="">Work with AWS services including Lambda, EventBridge, S3, Firehose, CloudWatch, and SageMaker to build and deploy ML solutions.</li>  <li style="">Build and optimize data workflows using Snowflake and Snowpark.</li>  <li style="">Collaborate with cross-functional teams to understand business requirements and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;translate them into scalable AI/ML solutions.</li>  <li style="">Implement CI/CD pipelines for automated testing, deployment, and monitoring of machine learning applications.</li>  <li style="">Use &nbsp;Terraform and Infrastructure-as-Code practices to manage cloud infrastructure.</li>  <li style="">Monitor &nbsp;model performance, data quality, and pipeline reliability in production environments.</li>  <li style="">Apply best practices for MLOps, model governance, and operational excellence.</li></ul><div style=""><b style="font-weight: 700">Required Skills &amp; Experience</b></div><ul>  <li style="">3–6 &nbsp;years of experience in Data Science, Machine Learning, or AI Engineering.</li>  <li style="">Strong proficiency in Python for machine learning and data processing.</li>  <li style="">Hands-on &nbsp;experience in machine learning model development and deployment.</li>  <li style="">Experience working with Apache Kafka and streaming data processing.</li>  <li style="">Strong understanding of feature engineering, model evaluation, and production ML workflows.</li>  <li style="">Experience with AWS services including:    <ul>      <li style="">AWS Lambda</li>      <li style="">EventBridge</li>      <li style="">SageMaker</li>      <li style="">S3</li>      <li style="">Firehose</li>      <li style="">CloudWatch</li>    </ul>  </li>  <li style="">Experience working with Snowflake and Snowpark.</li>  <li style="">Knowledge of SQL and large-scale data processing.</li>  <li style="">Experience building CI/CD pipelines and deployment automation.</li>  <li style="">Hands-on experience with Terraform and cloud infrastructure management.</li>  <li style="">Strong problem-solving and analytical skills.</li></ul><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Sr. Associate AIML Engineer / AIML Engineer (Data Science)

<div style=""><b style="font-weight: 700">Title: Senior Engineer /Lead -&nbsp;React + Node</b></div><div style="">Location: Pune</div><div style="">Work Mode :3 Days WFO</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger &nbsp;&nbsp;Analytics is a global leader in AI and analytics, helping Fortune 1000 &nbsp;&nbsp;companies solve their toughest challenges. We offer full-stack AI and &nbsp;&nbsp;analytics services &amp; solutions to empower businesses to achieve real &nbsp;&nbsp;outcomes and value at scale. We are on a mission to push the boundaries of &nbsp;&nbsp;what AI and analytics can do to help enterprises navigate uncertainty and &nbsp;&nbsp;move forward decisively. Our purpose is to provide certainty to shape a &nbsp;&nbsp;better tomorrow.</div><div style="">Our team of &nbsp;&nbsp;4000+ technologists and consultants are based in the US, Canada, the UK, &nbsp;&nbsp;India, Singapore and Australia, working closely with clients across CPG, &nbsp;&nbsp;Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of &nbsp;&nbsp;our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our &nbsp;&nbsp;dedication to innovation and excellence.</div><div style="">We are a &nbsp;&nbsp;Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as &nbsp;&nbsp;Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among &nbsp;&nbsp;the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial &nbsp;&nbsp;Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">The Full Stack Engineer is responsible for designing, developing, and deploying end-to-end web applications and services that drive business value across the enterprise. This role combines deep technical expertise in front-end frameworks, back-end services, database design, and cloud platforms to build production-grade, scalable applications — including responsive user interfaces, RESTful and GraphQL APIs, microservices architectures, and CI/CD-driven deployment pipelines. The Full Stack Engineer collaborates closely with product owners, UX/UI designers, QA engineers, and business stakeholders to translate complex business requirements into reliable, high-performance software solutions that support pharmaceutical distribution operations. The ideal candidate is a hands-on engineer who thrives at the intersection of front-end and back-end development, bringing innovative application concepts from prototype to enterprise deployment while ensuring code quality, security, and operational excellence.</b></div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">Experience</b></div><div style=""><b style="font-weight: 700">•Minimum professional experience as per the Level in full stack software development, with a focus on building and maintaining scalable web applications across front-end and back-end technologies.</b></div><div style=""><b style="font-weight: 700">•Minimum of hands-on experience as per the Level designing, developing, and deploying production-grade applications using modern front-end frameworks (React, Angular, or Vue.js) and back-end languages and frameworks (Node.js, Python, Java, or .NET).</b></div><div style=""><b style="font-weight: 700">•Demonstrated experience with end-to-end application development — including responsive user interface design, RESTful API development, database design and optimization, and CI/CD pipeline implementation — within an enterprise cloud-based environment.</b></div><div style=""><b style="font-weight: 700">•Experience in a regulated industry (pharmaceutical, healthcare, or life sciences) is a plus</b></div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">Certifications (Required / Preferred)</b></div><div style=""><b style="font-weight: 700">• Microsoft Certified: Azure Developer Associate or AWS Certified Developer — Associate — Required</b></div><div style=""><b style="font-weight: 700">(one of the two).</b></div><div style=""><b style="font-weight: 700">• Microsoft Certified: Azure Solutions Architect Expert — Preferred.</b></div><div style=""><b style="font-weight: 700">• AWS Certified Solutions Architect — Associate — Preferred.</b></div><div style=""><b style="font-weight: 700">• Meta Front-End Developer Professional Certificate or Google UX Design Professional Certificate —</b></div><div style=""><b style="font-weight: 700">Preferred.</b></div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills &nbsp;&nbsp;and qualities so even if you don’t tick all the boxes for the role today, we &nbsp;&nbsp;urge you to apply as there might be a suitable/unique role for you tomorrow. &nbsp;&nbsp;We are an equal-opportunity employer. Our diverse and inclusive culture and &nbsp;&nbsp;values guide us to listen, trust, respect, and encourage people to grow the &nbsp;&nbsp;way they desire.</div><div style=""><br></div><div style="">Note: The designation will be commensurate with expertise and &nbsp;&nbsp;experience. Compensation packages are among the best in the industry.</div><div style=""><em>Additional &nbsp;&nbsp;Benefits: Health insurance (self &amp; family), virtual wellness platform, &nbsp;&nbsp;and knowledge communities.</em></div>

Senior Engineer /Lead - Fullstack

<div style=""><b style="font-weight: 700">JOB DESCRIPTION</b></div><div style="">Tiger Analytics is a global analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. Working at Tiger, you will be at the heart of this AI revolution. You will work with teams that push the boundaries of what is possible and build solutions that energize and inspire. We are headquartered in the Silicon Valley and have delivery centres across the globe.</div><div style=""><br></div><div style=""><b style="font-weight: 700">ABOUT THE ROLE</b></div><div style="">As a BD &amp; Solutioning professional in our Life Sciences and Pharma practice, you will play a dual role: shaping winning proposals and solutions for prospective and existing clients, while serving as a trusted domain advisor who can translate complex analytics and AI capabilities into tangible business value. You will work closely with sales leaders, practice heads, and delivery teams across the full opportunity lifecycle.</div><div style="">On a typical workday, you could be doing one or more of the following:</div><ul>  <li style="">Own and drive RFP/RFI/RFQ responses by stitching together custom solutions and compelling narratives.</li>  <li style="">Develop high-impact value proposition decks and proposals that articulate Tiger`s differentiation in the Pharma and Healthcare analytics space.</li>  <li style="">Support sales team with client conversations, probe to uncover strategic pain points, and qualify opportunities for conversion.</li>  <li style="">Translate ambiguous business problems into clear analytic problem statements and solution frameworks.</li>  <li style="">Design solution architectures and analytical frameworks in response to client briefs, balancing domain relevance with technical feasibility.</li>  <li style="">Collaborate with practice and delivery leads to propose and refine solutions, refine effort estimates, and to ensure proposals reflect Tiger`s delivery capability.</li>  <li style="">Collaborate with Data Science, Data Engineering, and AI specialists to design technically credible, commercially viable solutions.</li>  <li style="">Draft and review commercial agreements including NDAs, MSAs, SOWs, and Vendor Agreements on a best-efforts basis.</li></ul><div style=""><b style="font-weight: 700">EXPERTISE AND QUALIFICATIONS</b></div><ul>  <li style="">9+ years of relevant experience in analytics services, pharma/healthcare consulting, or a solutioning/BD role in an analytics context.</li>  <li style="">Leadership experience, with demonstrated ability to lead cross-functional teams and drive initiatives end-to-end.</li>  <li style="">Deep, working knowledge of Pharma use cases and familiarity with third-party pharma data assets: IQVIA, Symphony Health, APLD, LAAD, and similar sources.</li>  <li style="">Exposure to AI/ML applications in pharma</li>  <li style="">Familiarity with modern data and AI platforms including cloud ecosystems (AWS, Azure, GCP) and tools such as Snowflake and Databricks.</li>  <li style="">Prior experience working with US-based pharma or healthcare clients is strongly preferred.</li>  <li style="">Excellent written and verbal communication skills with strong business storytelling ability.</li>  <li style="">MBA and/or Bachelor/Master`s in Engineering, Life Sciences, Statistics, or a related discipline from a reputed institution.</li></ul>

TA India - Remote

BD - Pharma

<div style=""><br></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. &nbsp;We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. &nbsp;Our team of 7000+ technologists and consultants is based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in the Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. &nbsp;We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. &nbsp;Curious about the role? What would your typical day look like?</div><div style=""><br></div><div style="">We are seeking an experienced <b style="font-weight: 700">ETL Operations Team Lead</b> to manage production support activities within our Offshore Development Center (ODC). The ideal candidate will combine strong technical expertise with proven leadership and stakeholder management skills to ensure seamless delivery and operational excellence.</div><div style=""><br></div><ul>  <li style=""><b style="font-weight: 700">Stakeholder Management</b>: Act as the primary liaison between business stakeholders and the ETL operations team, ensuring clear communication and alignment on priorities.</li>  <li style=""><b style="font-weight: 700">Delivery &amp; Operational Management</b>: Oversee daily production support activities, ensuring SLAs are met and incidents are resolved promptly.</li>  <li style=""><b style="font-weight: 700">Team Leadership</b>: Lead and mentor a team of ETL support engineers, fostering collaboration, accountability, and continuous improvement.</li>  <li style=""><b style="font-weight: 700">ETL Operations</b>: Manage and optimize ETL workflows, ensuring data pipelines are efficient, reliable, and scalable.</li>  <li style=""><b style="font-weight: 700">Automation &amp; Optimization</b>: Drive initiatives to automate repetitive tasks, improve system performance, and reduce manual intervention.</li>  <li style=""><b style="font-weight: 700">Incident &amp; Problem Management</b>: Handle escalations, root cause analysis, and long-term fixes for recurring issues.</li></ul>