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<div style=""><b style="font-weight: 700">Architect / Sr. Architect – GenAI &amp; AI Platforms (Data &amp; AI)</b></div><div style="">Chennai, Bangalore, Hyderabad, Pune, NCR</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>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

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

<div style=""><b style="font-weight: 700">Senior / Lead – GenAI Engineer - Data &amp; AI</b></div><div style="">Chennai, Bangalore, Hyderabad, &nbsp;&nbsp;Pune, NCR</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=""><b style="font-weight: 700">We are looking for a Senior / Lead GenAI &nbsp;&nbsp;Engineer to design and deploy production-grade AI systems for enterprise use &nbsp;&nbsp;cases.</b></div><div style=""><b style="font-weight: 700">In &nbsp;&nbsp;this role, you will build LLM-powered applications such as &nbsp;&nbsp;retrieval-augmented systems, agentic workflows, with a strong focus on &nbsp;&nbsp;scalability, reliability, and real-world impact</b>. <b style="font-weight: 700">Also, you will work on internal &nbsp;&nbsp;product development and support client-focused projects, with exposure to the &nbsp;&nbsp;pharma domain being a plus.</b></div><div style="">You'll collaborate with experienced team &nbsp;&nbsp;members and learn to create impactful AI solutions while optimizing and &nbsp;&nbsp;developing GenAI applications.</div><div style="">Your responsibilities will include:</div><div style="">- Supporting the design, development, and deployment of GenAI solutions, &nbsp;&nbsp;learning to address challenges like hallucinations, bias, and latency, while &nbsp;&nbsp;contributing to performance and reliability improvements.</div><div style="">- Collaborating with both internal teams and external stakeholders, &nbsp;&nbsp;particularly in the pharma space, to understand business requirements and &nbsp;&nbsp;contribute to the development of tailored AI-powered systems.</div><div style="">- Assisting in the full lifecycle of AI project delivery, including &nbsp;&nbsp;ideation, model fine-tuning, deployment, and performance monitoring under the &nbsp;&nbsp;guidance of senior team members.</div><div style="">- Learning and applying fine-tuning techniques (such as LoRA, PEFT) to &nbsp;&nbsp;Large Language Models (LLMs) for specific business needs.</div><div style="">- Assisting in the development of scalable pipelines for AI model &nbsp;&nbsp;deployment, including handling error management, monitoring, and retraining &nbsp;&nbsp;strategies.</div><div style="">- Actively participating in a collaborative environment, sharing ideas &nbsp;&nbsp;and working as part of a dynamic team of data scientists and AI engineers.</div><div style=""><b style="font-weight: 700">What do we expect?</b></div><div style=""><b style="font-weight: 700">Key Responsibilities:</b></div><div style=""><b style="font-weight: 700">GenAI &nbsp;&nbsp;&amp; Agentic AI Development</b></div><div style="">- Design and &nbsp;&nbsp;deploy NLP and GenAI solutions using LLMs, fine-tuning techniques (LoRA, &nbsp;&nbsp;PEFT), and AI-powered automation.</div><div style="">- Build and &nbsp;&nbsp;optimize LLM-powered chatbots, virtual assistants, and AI agents with high &nbsp;&nbsp;accuracy and contextual awareness.</div><div style="">- Implement &nbsp;&nbsp;agentic AI systems enabling autonomous, multi-step workflows using &nbsp;&nbsp;orchestration frameworks (LangChain, LlamaIndex, AutoGen, etc.).</div><div style=""><b style="font-weight: 700">Architecture &nbsp;&nbsp;&amp; Pipelines</b></div><div style="">- Architect &nbsp;&nbsp;scalable NLP pipelines covering text preprocessing, entity recognition (NER), &nbsp;&nbsp;summarization, Q&amp;A, and conversational AI.</div><div style="">- Lead research &nbsp;&nbsp;and implementation of advanced GenAI techniques: LLMs, Agentic Solutioning, transformers, &nbsp;&nbsp;embeddings, RAG, and multi-modal models.</div><div style="">- Optimize &nbsp;&nbsp;inference pipelines using quantization, model distillation, and &nbsp;&nbsp;retrieval-enhanced generation for performance and cost efficiency.</div><div style=""><b style="font-weight: 700">Production &nbsp;&nbsp;&amp; MLOps</b></div><div style="">- Develop &nbsp;&nbsp;scalable model deployment pipelines with robust error handling, monitoring, &nbsp;&nbsp;and retraining strategies.</div><div style="">- Ensure LLM &nbsp;&nbsp;observability and guardrails - covering model monitoring, safety, fairness, &nbsp;&nbsp;and regulatory compliance.</div><div style="">- Lead MLOps &nbsp;&nbsp;practices: CI/CD pipelines, containerization (Docker, Kubernetes), and cloud &nbsp;&nbsp;deployments on AWS, GCP, or Azure.</div><div style=""><b style="font-weight: 700">Collaboration &nbsp;&nbsp;&amp; Delivery</b></div><div style="">- Collaborate &nbsp;&nbsp;with cross-functional teams to integrate GenAI solutions into enterprise &nbsp;&nbsp;applications via robust APIs and microservices.</div><div style="">- Work with &nbsp;&nbsp;internal teams and external stakeholders (including pharma clients) to &nbsp;&nbsp;translate business requirements into AI solutions.</div><div style="">- Mentor junior &nbsp;&nbsp;engineers, champion AI best practices, and contribute to AI governance &nbsp;&nbsp;frameworks in regulated industries.</div><div style=""><b style="font-weight: 700">Key skills</b></div><div style="">- 5-7.5 years in NLP, Generative AI, or related ML discipline.</div><div style="">- 2+ years working with GenAI/LLMs in production systems.</div><div style="">- Deep expertise in LLMs, transformer architecture, Agentic Frameworks and &nbsp;&nbsp;fine-tuning techniques.</div><div style="">- Strong knowledge of NLP pipelines, including text preprocessing, &nbsp;&nbsp;tokenization, embeddings, and named entity recognition (NER).</div><div style="">- Experience with retrieval-augmented generation (RAG), vector databases, &nbsp;&nbsp;(FAISS, Pinecone, ChromaDB), and prompt engineering.</div><div style="">- Hands-on experience with Agentic AI systems, LLM observability tools, &nbsp;&nbsp;and AI safety guardrails.</div><div style="">- Proficiency in Python and backend development (Django/Flask &nbsp;&nbsp;preferred), with strong API and microservices expertise.</div><div style="">- Familiarity with MLOps, cloud platforms (AWS, GCP, Azure), and &nbsp;&nbsp;scalable model deployment strategies.</div><div style="">- Prior experience in life sciences, pharma, or other regulated &nbsp;&nbsp;industries is a plus.</div><div style="">- A problem-solving mindset with the ability to work independently, &nbsp;&nbsp;drive innovation, and mentor junior engineers.</div><div style=""><br></div><div style=""><b style="font-weight: 700">What makes this role exciting</b></div><div style="">- <b style="font-weight: 700">Opportunity to work on real-world, production-grade GenAI systems at &nbsp;&nbsp;enterprise scale.</b></div><div style="">- <b style="font-weight: 700">Exposure to diverse industries and high-impact problem statements.</b></div><div style="">- <b style="font-weight: 700">A strong ecosystem of AI practitioners, accelerators, and &nbsp;&nbsp;innovation-led culture.</b></div><div style="">- <b style="font-weight: 700">Ability to shape next-generation AI solutions beyond prototypes.</b></div><div style=""><b style="font-weight: 700">*If you have expertise in any of the above skills then let us know and we will align opportunities with your strengths &nbsp;&nbsp;and support upskilling.</b></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 &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 GenAI Engineer - Data & AI

<ul>  <li style="">Lead the implementation of GenAI orchestration frameworks such as LangChain and LangGraph, and apply the Model Context Protocol (MCP) to connect LLMs with real-time data and tools.</li>  <li style="">Build and maintain “self-healing” CI/CD pipelines that automate model evaluation (hallucination checks, drift detection) and deployment across hybrid cloud environments.</li>  <li style="">Collaborate with UX teams to integrate GenAI outputs (streaming text, multimodal assets) into React/Next.js applications, ensuring sub-second latency and smooth state management.</li>  <li style="">Respond to and resolve production issues in line with SLA commitments.</li>  <li style="">Troubleshoot user issues and handle service requests efficiently.</li>  <li style="">Monitor data pipelines, identify failures, and implement corrective actions.</li>  <li style="">Track and improve model performance, applying necessary corrections.</li>  <li style="">Refresh dashboards and ensure accuracy of data presented to stakeholders.</li></ul>

ML Support

<div style=""><br></div><div style="">Service Delivery Lead</div><div style="">Chennai, Bangalore &amp; Hyderabad</div><div style=""><br></div><div style="">Who we are</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. 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=""><br></div><div style="">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.</div><div style=""><br></div><div style="">We are a Great Place to Work-Certified™ (2022-26), 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="">Curious about the role? What would your typical day look like?</div><div style=""><br></div><div style="">We are seeking a highly experienced professional with strong expertise in both Production Support and Business Analysis. This role requires ensuring smooth system operations while driving requirement gathering, analysis, and solution delivery across business and technology teams.</div><div style=""><br></div><ul>  <li style="">Manage and lead production support activities for critical applications and systems.</li>  <li style="">Monitor system performance, availability, and reliability, ensuring timely resolution of incidents.</li>  <li style="">Perform root cause analysis, implement preventive measures, and maintain documentation of issues and resolutions.</li>  <li style="">Coordinate with technical teams for bug fixes, enhancements, and deployments.</li>  <li style="">Collaborate with stakeholders to gather, analyse, and document business requirements.</li>  <li style="">Translate business needs into functional and technical specifications.</li>  <li style="">Support testing phases, including UAT, regression, and production validation.</li>  <li style="">Provide post-implementation support and continuous improvement recommendations.</li>  <li style="">Mentor junior team members and contribute to knowledge base creation.</li>  <li style="">Drive automation opportunities in support and analysis processes.</li>  <li style="">Ensure compliance with SLAs, operational standards, and change management processes.</li></ul>

Service Delivery Lead - Business Analyst + Production Support

<div style=""><b style="font-weight: 700">Title: Senior Engineer /Lead - Python</b></div><div style=""><b style="font-weight: 700">Location: </b>Hyderabad</div><div style=""><b style="font-weight: 700">Work Model:</b> 5 days work from office</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">Curious about the role? What your typical day would look like?</b></div><div style="">We are looking for a highly motivated Backend Engineer with strong expertise in Java, Spring Boot, Kafka, and Microservices architecture. The ideal candidate should have hands-on experience building scalable APIs and event-driven systems deployed on Azure or GCP.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><div style="">&nbsp;•<b style="font-weight: 700">Key Responsibilities – Senior Software / Backend Engineer (AI Enabled)</b><br>• Design, develop, and own scalable backend services using Python and FastAPI, with a focus on long term maintainability and reliability.<br>• Architect and implement robust, scalable data models and persistence layers using SQLAlchemy, ensuring data integrity and high performance.<br>• Lead the effective use of PostgreSQL and Redis for data storage, caching, and performance optimization.<br>• Design and integrate LLM powered and agentic AI capabilities into backend services, including orchestration, tool usage, and workflow automation.<br>• Build and maintain backend APIs and services that support AI agents, model inference, prompt pipelines, and contextual data access.<br>• Collaborate closely with frontend, platform, and product teams to deliver end to end features, including AI driven experiences.<br>• Ensure backend and AI services meet high standards for performance, security, scalability, reliability, and responsible AI usage.<br>• Contribute to technical design discussions and architectural decision making, including AI system design and integration patterns.<br>• Lead and participate in code reviews, promoting engineering best practices, code quality, and knowledge sharing.<br>• Troubleshoot, debug, and resolve complex issues across development, staging, and production environments, including AI workflows.<br>• Drive continuous improvement of backend architecture, AI integration patterns, development practices, and engineering standards.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Required Skills</b><br>• 3–5 years of backend development experience.<br>• Strong proficiency in:<br>o Python<br>o FastAPI<br>o SQLAlchemy<br>• Database experience with:<br>o PostgreSQL<br>o Redis<br>• Experience building API driven web applications.<br>• Familiarity with Git and collaborative development workflows.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Preferred / Advantage Skills</b><br>• Exposure to Agentic AI concepts or AI driven backend workflows.<br>• Experience integrating LLM based services (e.g., embeddings, semantic search).<br>• Knowledge of cloud native or containerized environments.</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 - Python

<div style=""><b style="font-weight: 700">Title: Senior Engineer /Lead - Angular</b></div><div style="">Location: Hyderabad</div><div style="">Work Mode :5 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">Curious about the role? What your typical day would look like?</b></div><div style="">We are looking for a highly motivated Backend Engineer with strong expertise in Java, Spring Boot, Kafka, and Microservices architecture. The ideal candidate should have hands-on experience building scalable APIs and event-driven systems deployed on Azure or GCP.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><div style="">&nbsp;• Design, develop, and maintain modular, reusable Angular components aligned with enterprise UI standards<br>• Build high performance, scalable single page applications (SPAs) using modern Angular practices<br>• Implement and support micro frontend architectures (Module Federation or equivalent patterns)<br>• Optimize application performance using lazy loading, change detection strategies, code splitting, and caching<br>• Collaborate closely with backend, UX, and platform teams to deliver end to end solutions<br>• Ensure cross browser compatibility, accessibility, and responsive design<br>• Write clean, maintainable, and well tested code following Angular best practices<br>• Participate in code reviews, design discussions, and technical decision making</div><div style=""><b style="font-weight: 700">Required Skills &amp; Qualifications</b><br>• Strong experience with Angular (latest versions) and TypeScript<br>• Proven expertise in building reusable component libraries<br>• Solid understanding of frontend performance optimization techniques<br>• Hands on experience with micro frontend concepts and implementations<br>• Strong knowledge of HTML5, CSS3, SCSS, and modern layout systems<br>• Experience with REST APIs and frontend backend integration<br>• Familiarity with state management (NgRx, RxJS patterns)<br>• Experience with unit testing frameworks (Jasmine, Karma, Jest)<br>• Strong problem solving skills and attention to detail</div><div style=""><br></div><div style=""><b style="font-weight: 700">Preferred / Nice to Have Skills</b><br>• Experience with Module Federation, Nx, or similar micro frontend tooling<br>• Exposure to design systems and enterprise UI frameworks<br>• Knowledge of CI/CD pipelines for frontend applications<br>• Experience working in cloud native or containerized environments<br>• Awareness of security, RBAC, and enterprise authentication patterns<br>• Exposure to Agentic AI or AI driven web workflows.<br>• Experience with LLM powered UI features.</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 - Angular

<div style=""><b style="font-weight: 700">Data Stewards&nbsp;</b></div><div style=""><b style="font-weight: 700">Location : 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 5000+ 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™ (2022-25), 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="">Data Stewards are the driving force behind an organization's data governance &amp; management initiatives. Data Steward will have the opportunity to shape the data landscape by collaborating with cross-functional teams and championing a culture of data-driven decision-making.</div><div style=""><b style="font-weight: 700">Responsibilities:</b></div><ul>  <li style="">Ability to lead in enforcing data governance policies, ensuring &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data integrity, quality, accuracy, reliability, and KPI fitment.</li>  <li style="">Document and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;deploy consistent enterprise-wide data definitions, processes, and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;ownership.</li>  <li style="">Work with the &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;business to identify and define KPIs (Key Performance Indicator), collect &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;required business and technical metadata, and document data flows (Data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;lineage) including the establishment of data quality rules and data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;profiling.</li>  <li style="">Work with the &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;business to document Data Governance related procedures, user guides and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;business data process maps.</li>  <li style="">Analyze data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and new requirements for data ingestion or migration.</li>  <li style="">Deliver the &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data requirements following the data process maps and by performing the &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;required data transformation steps.</li>  <li style="">Coordinate, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;monitor, escalate, and remediate data quality issues and data exceptions &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;working with business partners and data sources.</li>  <li style="">Support or &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;conduct engaging training sessions, for other DG team members as per &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;requirement.</li>  <li style="">Maintain and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;update data dictionaries and metadata repositories, ensuring the data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;lineage is well documented</li>  <li style="">Assess data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;assets for quality, completeness, accuracy, consistency, and timeliness &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;across assigned domains.</li>  <li style="">Define and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;apply data quality rules, metrics, and thresholds in alignment with &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;organizational standards.</li>  <li style="">Perform &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;regular data profiling and root-cause analysis to identify data issues and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;recommend remediation actions.</li>  <li style="">Create, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;maintain, and curate metadata in the enterprise data catalog, ensuring &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;accuracy and completeness.</li>  <li style="">Classify data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;assets and apply standardized business definitions, technical metadata, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and tags.</li>  <li style="">Establish and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;maintain data lineage, ownership, and stewardship information within the &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;catalog.</li></ul><div style=""><b style="font-weight: 700">Candidate Qualification:</b></div><ul>  <li style="">Over 4 -8 &nbsp;years of Knowledge of data governance frameworks, data management &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;principles, and data quality concepts.</li>  <li style="">Proficiency in &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data profiling, mapping, cleansing, and data analysis using excel and SQL.</li>  <li style="">Data analysis &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;skills with the capability of identifying data quality issues, risks, root &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;causes and correlating those issues with data specifications, rules and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;offering /facilitating recommendations for remediation plan solutions.</li>  <li style="">Exceptional &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;communication and interpersonal skills to collaborate effectively with &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;diverse stakeholders.</li>  <li style="">Ability to &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;thrive in a fast-paced environment, prioritizing tasks, and adapting to &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;evolving data management requirements.</li>  <li style="">Strong &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;communication, project management, writing and presentation skills.</li>  <li style="">A good &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;understanding of the CPG/Retail industry and products is preferable.</li>  <li style="">Experience &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;with Data Governance tools (e.g., Collibra, Axon, IDQ) is preferable</li>  <li style="">Basic proficiency &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;in Databricks and Azure Cloud fundamentals would be added advantage</li></ul><div style=""><b style="font-weight: 700">Skillset:</b></div><ul>  <li style="">Advanced proficiency expected in Microsoft Excel</li>  <li style="">Intermediate &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;proficiency expected in SQL.</li>  <li style="">Basic &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;proficiency expected in python</li>  <li style="">Intermediate &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;proficiency expected in Informatica AXON and IDQ</li></ul>

Data Stewards 

<div style=""><b style="font-weight: 700">About the role:</b></div><div style="">Tiger Analytics is looking for “Credit Risk Senior Analyst” a highly analytical and results-driven professional to join our Banking and Financial Services practice supporting credit risk analytics for the Credit Card business. The role will focus on developing, monitoring, and optimizing credit risk strategies across the customer lifecycle (origination, underwriting, and portfolio management) to drive portfolio growth, risk optimization, and profitability. This position requires strong domain expertise in lending/credit risk, advanced analytical capabilities, and hands-on technical proficiency.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Location:&nbsp;</b></div><div style="">Hyderabad, Chennai, Bangalore, Gurgaon</div><div style=""><br></div>

TA India - Bangalore - ODC

BFS_Credit Risk Senior Analyst

<div style=""><b style="font-weight: 700">Senior Lead/Architect– Data and AI</b></div><div style=""><br></div><div style="">Location: Chennai, Bengaluru, and Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></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. 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=""><br></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=""><br></div><div style="">We are a Great Place to Work-CertifiedTM (2022-26), 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=""><b style="font-weight: 700">Key Responsibilities (not limited - other areas within Pharma domain welcome)</b></div><ul>  <li style="">Next Best Action (NBA): Design and deploy omni-channel orchestration engines that recommend the right message, through the right channel, at the right time for Healthcare Professionals (HCPs).</li>  <li style="">Patient Analytics: Develop propensity models to identify patients at risk of non-adherence or those who may benefit from specific support interventions.</li>  <li style="">Market Access &amp; Pricing: Analyze real-world data (RWD) to demonstrate product value, supporting dossiers for payers and optimizing contracting strategies.</li>  <li style="">End-to-End Modeling: Lead the full data science lifecycle—from sourcing messy EHR/Claims data to deploying scalable models in a cloud environment.</li>  <li style="">Stakeholder Leadership: Translate technical findings into "so-what" insights for Brand Managers, Medical Affairs, and Market Access leads.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">What do we expect?</b></div><div style=""><b style="font-weight: 700">Technical &amp; Domain Skill Matrix</b></div><div style=""><b style="font-weight: 700">1. Technical Skills</b></div><div style=""><b style="font-weight: 700">Programming/ Tools:</b></div><div style=""><b style="font-weight: 700">Must-Have : </b>Python (Pandas, Scikit-learn, PySpark), SQL, Git or Bitbucket <b style="font-weight: 700">Good-to-Have:</b> AWS/Cloud platform experience, PowerBI, Streamlit</div><div style=""><b style="font-weight: 700">ML Techniques:&nbsp;</b></div><div style=""><b style="font-weight: 700">Must-Have :</b> XGBoost/LightGBM, Uplift Modeling, Propensity Score Matching, Customer Segmentation, Clustering</div><div style=""><b style="font-weight: 700">Good-to-Have : </b>Deep Learning (NLP for medical notes), Reinforcement Learning (for NBA)</div><div style=""><b style="font-weight: 700">Visualization:</b></div><div style="">Must-Have : Plotly/Streamlit</div><div style=""><b style="font-weight: 700">Statistics:</b></div><div style=""><b style="font-weight: 700">Must-Have :</b> Causal Inference, Survival Analysis, Longitudinal Data Analysis</div><div style=""><b style="font-weight: 700">Good-to-Have:</b> Bayesian Statistics</div><div style=""><br></div><div style=""><br></div><div style=""><b style="font-weight: 700">2. Pharma Domain Skills :</b></div><ul>  <li style=""><b style="font-weight: 700">Data Source Expertise:</b> Deep experience with Pharma-specific datasets:</li>  <li style=""><b style="font-weight: 700">Claims/EHR:</b> IQVIA (LAAD), Symphony, Optum, Flatiron.</li>  <li style=""><b style="font-weight: 700">Commercial:</b> CRM data (Veeva), Call Activity, Digital Interaction logs.</li>  <li style=""><b style="font-weight: 700">Regulatory Knowledge:</b> Firm understanding of HIPAA, GDPR, and GxP compliance requirements.</li>  <li style=""><b style="font-weight: 700">Patient Journey Mapping:</b> Experience modeling "Time-to-Treatment," "Switching Behavior," and "Drop-off Analysis."</li>  <li style=""><b style="font-weight: 700">Market Dynamics:</b> Understanding of the "Payer-Provider-Patient" triangle and how rebates/formulary positions impact volume.</li></ul><div style=""><br></div><div style="">You are important to us, let’s stay connected!</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</div><div style="">to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive</div><div style="">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. Compensation packages are among the best in the industry.</div>

Senior Lead/Architect (DS Pharma) - Data and AI

<div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><div style="">· Seeking a Consumer Credit Risk Lead / Senior Consultant to oversee underwriting and account management policy implementation, including independent portfolio performance assessment and credit risk reporting to senior leadership and regulators.</div><div style="">· The role involves developing, monitoring, and periodically recalibrating the Credit Risk Management Framework, including risk appetite, limits, and quantitative risk metrics. Responsibilities also include ensuring strong governance and documentation for credit risk committees, audits, and regulatory reviews.</div><div style=""><b style="font-weight: 700">Primary Skills</b></div><div style="">1. Credit Policy &amp; Underwriting Strategy:</div><div style="">§ Origination Risk: Establish and refine the credit policy for new account approvals, including FICO/VantageScore cut-offs, Debt-to-Income (DTI) thresholds, and income verification rules.</div><div style="">§ Risk Appetite Framework: Define and monitor the portfolio's risk appetite, ensuring that approval rates and initial line assignments align with the bank’s targeted risk-adjusted return on capital (RAROC).</div><div style="">§ Alternative Data: Evaluate and integrate alternative credit data sources (e.g., cash flow underwriting, utility data) to safely expand credit access to thin-file or no-file US consumers.</div><div style="">2. Portfolio Risk Management (ECM Risk):</div><div style="">§ Exposure Management: Develop proactive Credit Limit Decrease (CLD) and account closure strategies to mitigate exposure to deteriorating credit profiles.</div><div style="">§ Behavioral Scoring: Oversee the development and calibration of internal behavioral risk scorecards to predict the Probability of Default (PD) for existing cardholders.</div><div style="">§ Overlimit &amp; Authorizations: Design authorization strategies that minimize bust-out fraud and high-risk overlimit spend.</div><div style="">3. Loss Forecasting &amp; Stress Testing:</div><div style="">§ CECL / Reserving: Partner with the Finance and Modeling teams to develop assumptions for the Current Expected Credit Losses (CECL) framework to ensure adequate loan loss reserves (ALLL).</div><div style="">§ CCAR / DFAST: Lead the credit card portfolio's inputs for the Comprehensive Capital Analysis and Review (CCAR) and Dodd-Frank Act Stress Testing (DFAST), modeling how the portfolio will perform under severe macroeconomic downturns.</div><div style="">§ Vintage &amp; Roll Rate Analysis: Monitor delinquency roll rates (e.g., 30-to-60 day, 60-to-90 day) and Net Charge-Off (NCO) vintages to identify emerging risk trends.</div><div style="">4. Collections &amp; Recovery Strategy:</div><div style="">§ Pre-Delinquency &amp; Early Stage: Design data-driven, omni-channel contact strategies (SMS, email, phone) for customers exhibiting early signs of financial distress.</div><div style="">§ Treatment Optimization: Optimize settlement offers, forbearance programs, and payment plans to maximize recovery rates and minimize ultimate charge-offs.</div><div style="">5. Regulatory Compliance &amp; Governance:</div><div style="">§ Regulatory Exams: Serve as a subject matter expert during internal audits and external regulatory exams conducted by the OCC, CFPB, or FDIC.</div><div style="">§ Fair Lending &amp; ECOA: Rigorously monitor all risk policies and models for disparate impact to ensure full compliance with the Equal Credit Opportunity Act (Regulation B).</div><div style="">§ Model Risk Management: Ensure all risk models comply with SR 11-7 (Supervisory Guidance on Model Risk Management).</div><div style="">6. Business Acumen: Deep understanding of the credit card P&amp;L, specifically how risk metrics (Probability of Default, Exposure at Default, Loss Given Default, Net Charge-Offs) impact the bottom line.</div><div style="">7. Analytical Problem Solving: Ability to leverage massive datasets (bureau attributes, transaction data, macroeconomic indicators) to identify hidden risks before they materialize into losses.</div><div style="">8. Policy Implementation and Monitoring: Oversee and report on underwriting and account management policies, including independent assessment of portfolio performance, compliance with credit policy, and comprehensive credit risk reporting to leadership and regulators. This involves reviewing proposed policy changes and monitoring portfolio risk.</div><div style="">9. Governance and Documentation: Ensure governance for credit risk committees by tracking agenda items, recording meeting minutes, and maintaining relevant documentation for audit and regulatory purposes.</div><div style="">10. Technical Skills:</div><div style="">§ Expert-level proficiency in SQL and relational databases.</div><div style="">§ Strong programming skills in Python, R, or SAS for statistical modeling and data analysis.</div><div style="">§ Experience building automated risk dashboards in Tableau or PowerBI.</div><div style="">11. Credit Card and banking industry experience 6 – 10+ years.</div>