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=""><b style="font-weight: 700">Job Title: Data Engineer - DWBI (Pharma)</b></div><div style=""><br></div><div style="">Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled 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, the 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">Curious about the role? What your typical day would look like?</b></div><div style="">As a Data Engineer, you will work to enhance our business intelligence system to help us make better decisions; Seamlessly switch between roles of an Individual Contributor, team member, and data science engineer as demanded by each project to create and manage BI and analytics solutions that turn data into knowledge. On a typical day, you might</div><div style="">● Engage with clients to understand their business context</div><div style="">● Translate business needs to technical specifications.</div><div style="">● Discuss the design of the BI solutions that can be built &amp; deployed to solve the complex problem.</div><div style="">● Leverage Power BI to maintain &amp; support data analytics platforms.</div><div style="">● Involve yourself in unit testing and troubleshooting.</div><div style="">● Develop and execute database queries and conduct analyses.</div><div style="">● Create visualizations and build reports that exceed the expectations of the clients.</div><div style="">● Work on enhancing the BI systems that exist.</div><div style="">● Develop or ensure that the tech documentation developed is updated.</div><div style="">● Involve in BI performance tuning &amp; consumption patterns as you better understand BI SLAs.</div><div style="">● Ideate with your peers to design ground-breaking BI solutions.</div><div style="">● Interact and collaborate with multiple teams (Data Science, Consulting &amp; Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.</div>

TA India - Chennai - CLO

Data Engineer - DW/BI (Pharma)

<div style=""><b style="font-weight: 700">Job Title: Senior Data Engineer - Power BI&nbsp;</b></div><div style=""><br></div><div style="">Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 4000+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled 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, the 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">Curious about the role? What your typical day would look like?</b></div><div style="">As a Senior Data Engineer, you will work to enhance our business intelligence system to help us make better decisions; Seamlessly switch between roles of an Individual Contributor, team member, and data science engineer as demanded by each project to create and manage BI and analytics solutions that turn data into knowledge. On a typical day, you might</div><div style="">● Engage with clients to understand their business context</div><div style="">● Translate business needs to technical specifications.</div><div style="">● Discuss the design of the BI solutions that can be built &amp; deployed to solve the complex problem.</div><div style="">● Leverage Power BI to maintain &amp; support data analytics platforms.</div><div style="">● Involve yourself in unit testing and troubleshooting.</div><div style="">● Develop and execute database queries and conduct analyses.</div><div style="">● Create visualizations and build reports that exceed the expectations of the clients.</div><div style="">● Work on enhancing the BI systems that exist.</div><div style="">● Develop or ensure that the tech documentation developed is updated.</div><div style="">● Involve in BI performance tuning &amp; consumption patterns as you better understand BI SLAs.</div><div style="">● Ideate with your peers to design ground-breaking BI solutions.</div><div style="">● Interact and collaborate with multiple teams (Data Science, Consulting &amp; Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.</div>

Data Engineer - Power BI 

<div style=""><b style="font-weight: 700">Job Title : Lead\Senior AIML Engineer - GenAI+NLP</b></div><div style=""><b style="font-weight: 700">Location</b> <b style="font-weight: 700">: </b>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=""><br></div><h2 style="font-size: 1.5em"><b style="font-weight: 700">About the Role</b></h2><div style="">We are looking for a highly motivated AIML Engineer - GenAI+NLP<b style="font-weight: 700"> (5–10 years experience)</b> to design, develop, and deploy advanced machine learning solutions that solve complex business problems. The ideal candidate has strong expertise in <b style="font-weight: 700">Python, SQL, NLP, and Generative AI/LLMs</b>, with the ability to translate business requirements into scalable analytical solutions.</div><div style="">This role involves working closely with product, engineering, and business stakeholders to build impactful AI-driven capabilities that enhance user experience and operational efficiency.</div><div style=""><br></div><h2 style="font-size: 1.5em"><b style="font-weight: 700">Key Responsibilities</b></h2><ul>  <li style="">Independently design and implement end-to-end data science solutions to address business challenges.</li>  <li style="">Develop, train, validate, and deploy machine learning models using Python and SQL.</li>  <li style="">Perform feature engineering, model evaluation, and optimization using advanced statistical techniques.</li>  <li style="">Build NLP solutions leveraging text, transcription, and unstructured datasets.</li>  <li style="">Develop and integrate Generative AI and LLM-based solutions to enhance product capabilities.</li>  <li style="">Translate business requirements into analytical frameworks and scalable ML pipelines.</li>  <li style="">Collaborate with engineering and product teams to support model deployment and productionization.</li>  <li style="">Identify workflow/process gaps and architect data-driven solutions for operational improvements.</li>  <li style="">Stay updated with advancements in AI, NLP, and LLMs; evaluate emerging algorithms for business applications.</li>  <li style="">Create documentation and present insights to stakeholders to ensure alignment with organizational objectives.</li></ul><h2 style="font-size: 1.5em"><b style="font-weight: 700">Required Qualifications</b></h2><ul>  <li style="">5+ years of experience as a Data Scientist or in a related role.</li>  <li style="">Strong problem-solving skills with a structured approach to complex business challenges.</li>  <li style="">Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.</li>  <li style="">Hands-on experience in model development, validation, and deployment.</li>  <li style="">Expertise in NLP techniques (text classification, entity recognition, embeddings, summarization, etc.).</li>  <li style="">Experience working with Generative AI, LLMs, or transformer-based architectures.</li>  <li style="">Experience handling large datasets and writing production-grade code.</li>  <li style="">Strong communication skills with experience working with cross-functional stakeholders.</li></ul><h2 style="font-size: 1.5em"><b style="font-weight: 700">Preferred Qualifications</b></h2><ul>  <li style="">Experience with model deployment frameworks (MLflow, Docker, APIs, etc.).</li>  <li style="">Exposure to cloud platforms (AWS, Azure, or GCP).</li>  <li style="">Experience with RAG architectures or prompt engineering.</li>  <li style="">Familiarity with CI/CD practices for ML models.</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 - Hyderabad - ODC

Lead\Senior AIML Engineer - GenAI+NLP

<div style=""><b style="font-weight: 700">Title: Senior Software Engineer / Product Engineer / Lead - Java&nbsp;+ Kafka</b></div><div style="">Location: Chennai, Bangalore, &nbsp;&nbsp;Hyderabad</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 and develop scalable backend applications using Java and Spring Boot</div><div style="">Build RESTful APIs and microservices-based architectures</div><div style="">Implement event-driven systems using Apache Kafka</div><div style="">Develop and deploy cloud-native applications on Azure or GCP</div><div style="">Write clean, maintainable, and testable code following best practices</div><div style="">Collaborate with cross-functional teams including data engineers and frontend developers</div><div style="">Participate in code reviews, sprint planning, and agile ceremonies</div><div style="">Ensure performance, scalability, and security of applications</div><div style=""><b style="font-weight: 700">Required Skills</b></div><ul>  <li style="">3– 10 years of experience in backend development</li>  <li style="">Strong proficiency in Core Java (Java 8+)</li>  <li style="">Hands-on experience with Spring Boot</li>  <li style="">Experience building Microservices architecture</li>  <li style="">Experience in Apache Kafka</li>  <li style="">Experience deploying applications on Azure or GCP</li>  <li style="">Good understanding of REST APIs, JSON, and API security</li>  <li style="">Familiarity with CI/CD pipelines and containerization (Docker preferred)</li>  <li style="">Strong problem-solving and debugging skills</li></ul><div style=""><b style="font-weight: 700">Good to Have</b></div><div style="">Exposure to Kubernetes</div><div style="">Experience working with distributed systems</div><div style="">Knowledge of design patterns and system design basics</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>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

Senior Software Engineer / Product Engineer/Lead - Java + Kafka

<div style=""><b style="font-weight: 700">Job Title : AIML Engineer - Vertex AI</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=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">As an AI/ML Engineer specializing in Generative AI and NLP, you will be at the forefront of AI innovation. You will design and deploy sophisticated models, focusing on <b style="font-weight: 700">Vertex AI</b> to build <b style="font-weight: 700">Agentic workflows</b> that solve complex business problems. You will work closely with cross-functional teams to create scalable, data-driven solutions that bring AI-driven autonomy and intelligence to life.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Core Responsibilities</b></div><ul>  <li style=""><b style="font-weight: 700">Agentic AI &amp; NLP Development:</b> Design, develop, and deploy advanced applications using Generative AI models (e.g., Gemini, GPT, LLaMA) and NLP algorithms. Lead the creation of <b style="font-weight: 700">autonomous agents</b> capable of tool-use, reasoning, and multi-step task execution.</li>  <li style=""><b style="font-weight: 700">Vertex AI Orchestration:</b> Leverage the <b style="font-weight: 700">Vertex AI platform </b>to build, deploy, and monitor production-ready GenAI applications.</li>  <li style=""><b style="font-weight: 700">Model Customization &amp; Fine-Tuning:</b> Apply state-of-the-art techniques like <b style="font-weight: 700">LoRA, PEFT</b>, and fine-tuning to adapt models to specific enterprise use cases.</li>  <li style=""><b style="font-weight: 700">Agentic Reasoning &amp; RAG:</b> Implement advanced <b style="font-weight: 700">Retrieval-Augmented Generation (RAG)</b> and agentic frameworks (like LangChain or CrewAI) to ensure agents can access external data and perform actions via API integrations.</li>  <li style=""><b style="font-weight: 700">Innovative Problem Solving:</b> Tackle real-world business problems by providing creative, scalable AI-powered solutions that drive measurable results.</li>  <li style=""><b style="font-weight: 700">Cross-Functional Collaboration:</b> Partner with Consulting and Engineering to integrate AI agents into broader business strategies, ensuring seamless deployment and high availability.</li>  <li style=""><b style="font-weight: 700">Client Engagement:</b> Collaborate with clients to translate their needs into tailored AI solutions, educating them on the potential of <b style="font-weight: 700">Agentic AI</b> to transform operations.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">What Do We Expect?</b></div><ul>  <li style=""><b style="font-weight: 700">Agentic Framework Mastery:</b> Proven ability to design and build scalable LLM-based applications using <b style="font-weight: 700">agentic design patterns</b> (Reasoning/Act, Planning, and Tool-Use).</li>  <li style=""><b style="font-weight: 700">GCP Expertise:</b> Hands-on experience with <b style="font-weight: 700">Google Cloud Platform (GCP)</b>, specifically <b style="font-weight: 700">Vertex AI</b>, including managing datasets, training pipelines, and endpoint deployment.</li>  <li style=""><b style="font-weight: 700">Model Performance &amp; Safety:</b> Ability to address issues like bias and hallucinations by implementing robust <b style="font-weight: 700">guardrails</b> and evaluation frameworks (e.g., Vertex AI Model Evaluation).</li>  <li style=""><b style="font-weight: 700">Deep Research Application:</b> In-depth understanding of LLM architectures and the ability to apply cutting-edge research to solve complex problems.</li>  <li style=""><b style="font-weight: 700">Production-Level Python:</b> Expert-level Python skills for complex data manipulation and large-scale model optimization.</li>  <li style=""><b style="font-weight: 700">Advanced Data Stack:</b> Capability to develop sophisticated visualizations and ML models using libraries like Plotly and Scikit-learn, while writing clean, production-level code.</li>  <li style=""><b style="font-weight: 700">Communication Skills:</b> Exceptional ability to translate technical AI concepts (like agentic reasoning or vector embeddings) into business insights for non-technical stakeholders.</li></ul><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 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>

AIML Engineer - Vertex AI

<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 &nbsp;&nbsp;data and technology at the core of our solutions, &nbsp;&nbsp;our 3900+ tribe is solving problems that eventually impact the lives &nbsp;&nbsp;of millions globally. Our culture is modelled around expertise and respect &nbsp;&nbsp;with a team-first mindset. Headquartered in Silicon Valley, you’ll find our &nbsp;&nbsp;delivery centers across the globe and offices in multiple cities across &nbsp;&nbsp;India, the US, UK, Canada, and Singapore, including a substantial remote global workforce.</div><div style="">We’re Great Place to &nbsp;&nbsp;Work-Certified™. Working at Tiger &nbsp;&nbsp;Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams &nbsp;&nbsp;that push the boundaries of what is possible and build solutions that &nbsp;&nbsp;energize and inspire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">About the role</b></div><div style="">As a DevOps Architect, you will be responsible for supporting the DevOps capability and managing small teams of DevOps engineers. In doing so, you will closely collaborate with program leads, technology architects and data scientists across global locations. On a typical workday, you could be doing one or more of the following:</div><ul>  <li style="">Estimate for Cloud Platform automation and DevOps activities and build proposals.</li>  <li style="">Multi Cloud exposure : AWS, Azure, GCP</li>  <li style="">Adept understanding of different Cloud services and platform and their associated limitations, with special focus on Network and Application security considerations.</li>  <li style="">Plan and perform Infrastructure automation, Build, Deploy and Release automation on various Cloud platforms.</li>  <li style="">Design and configure DevSecOps pipeline for various projects, working with the Client and Project teams.</li>  <li style="">Define, articulate, and evangelize Cloud Platform Automation activities.</li>  <li style="">Mentor and guide fresh talent in the capability.</li>  <li style="">Serve as a thought leader and SME for DevOps industry trends, new and existing technology offerings, and architectural concepts.</li>  <li style="">Experience in developing Agentic solution for DevOps use-cases</li>  <li style="">Experience in using GenAI Cloud Services - on Azure, AWS and GCP AI services</li>  <li style="">Identify the use cases which can be converted into reusable assets and with the help of engineering team convert that to assets</li>  <li style="">Conduct the sessions in DevOps tools best practices, emerging technologies etc</li>  <li style="">Help the team in RFP in solution DevOps approach, estimation, solution</li>  <li style="">Independently drive the client projects in DevOps implementations</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Desired Skills and Experience</b></div><div style=""><b style="font-weight: 700">Experience Range :</b> 12 to 17 Years</div><div style=""><b style="font-weight: 700">Location</b> <b style="font-weight: 700">: </b>Chennai, Bangalore, Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Skills</b></div><ul>  <li style="">Cloud : AWS, Azure, GCP</li>  <li style="">Containers/Orchestration : Docker, Kubernetes, AKS, EKS</li>  <li style="">Infra as Code : Terraform, AWS CDK or Azure Biceps</li>  <li style="">CI/CD Tool : AWS Code Repo, Azure DevOps</li>  <li style="">Repository Management : Artifactory, Nexus, JFrog</li>  <li style="">Code Analysis : SonarQube</li>  <li style="">Security Tools : Fortify/Blackduck/Checkmarx</li>  <li style="">Monitoring / Security : Grafana, Prometheus</li>  <li style="">Database : MySQL, MongoDB, DynamoDB</li>  <li style="">Scripting/Languages : Shell, Python, Groovy, YAML</li></ul><div style=""><b style="font-weight: 700">Good to Have</b></div><ul>  <li style="">GenAI &amp; LLMs: LLM Fundamentals (architecture, tuning, limitations), Prompt Engineering, Agent Frameworks (LangChain, LangGraph, MCP), RAG (Retrieval-Augmented Generation) design and implementation,</li>  <li style="">GenAI Cloud Services : AWS Bedrock, Azure OpenAI, Google Vertex AI<br>API Integration (REST, GraphQL for LLM-driven workflows), Security &amp; Governance for GenAI (prompt injection prevention, compliance, data governance)</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">What do we expect?</b></div><ul>  <li style="">Drive DevOps adoption by implementing CI/CD tool sets and best practices for automation.</li>  <li style="">Managing cloud AWS, Azure and GCP</li>  <li style="">Hands on experience with containerization and orchestration platforms using Docker, and Kubernetes on Cloud (AKS, EKS)</li>  <li style="">Automating tools/infra provisioning using Ansible, Terraform</li>  <li style="">Automate provisioning and repetitive tasks using Terraform and Python.</li>  <li style="">Provide mentorship and guidance to team members.</li>  <li style="">Experience in developing proposals and responding to Requests for Proposals (RFPs).</li>  <li style="">LLM Fundamentals – Understanding how large language models work, their architecture, capabilities, and limitations.</li>  <li style="">Prompt Engineering – Designing and iterating effective prompts for automation, coding assistance, operational queries, and troubleshooting scenarios.</li>  <li style="">Agentic Framework – Hands-on experience with Model Context Protocol (MCP), LangGraph/ LangChain for building LLM-powered agents, multi-step reasoning workflows, and tool-augmented automation.</li>  <li style="">RAG (Retrieval-Augmented Generation) – Designing and implementing solutions that combine LLMs with internal documentation, operational runbooks, or logs for contextual responses.</li>  <li style="">GenAI Cloud Services – Hands-on experience with AWS Bedrock, Azure OpenAI Service, and Google Vertex AI Generative AI.</li>  <li style="">API Consumption – Proficiency in integrating GenAI models into workflows using REST and GraphQL APIs - using Python FastAPI.</li>  <li style="">Integration &amp; Automation – Embedding Generative AI into CI/CD pipelines, ChatOps workflows, and ticketing systems for DevOps efficiency.</li>  <li style="">Security &amp; Governance for GenAI – Implementing measures to prevent prompt injection, ensuring compliance, managing sensitive data, and setting up governance frameworks.</li></ul><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 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=""><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=""><br></div><div style=""><br></div>

DevOps Architect - Multicloud 

<div style=""><b style="font-weight: 700">Job Title : AIML Engineer - GenAI+NLP</b></div><div style=""><b style="font-weight: 700">Location</b> <b style="font-weight: 700">: </b>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=""><br></div><h2 style="font-size: 1.5em"><b style="font-weight: 700">About the Role</b></h2><div style="">We are looking for a highly motivated AIML Engineer - GenAI+NLP<b style="font-weight: 700"> (3–5 years experience)</b> to design, develop, and deploy advanced machine learning solutions that solve complex business problems. The ideal candidate has strong expertise in <b style="font-weight: 700">Python, SQL, NLP, and Generative AI/LLMs</b>, with the ability to translate business requirements into scalable analytical solutions.</div><div style="">This role involves working closely with product, engineering, and business stakeholders to build impactful AI-driven capabilities that enhance user experience and operational efficiency.</div><div style=""><br></div><h2 style="font-size: 1.5em"><b style="font-weight: 700">Key Responsibilities</b></h2><ul>  <li style="">Independently design and implement end-to-end data science solutions to address business challenges.</li>  <li style="">Develop, train, validate, and deploy machine learning models using Python and SQL.</li>  <li style="">Perform feature engineering, model evaluation, and optimization using advanced statistical techniques.</li>  <li style="">Build NLP solutions leveraging text, transcription, and unstructured datasets.</li>  <li style="">Develop and integrate Generative AI and LLM-based solutions to enhance product capabilities.</li>  <li style="">Translate business requirements into analytical frameworks and scalable ML pipelines.</li>  <li style="">Collaborate with engineering and product teams to support model deployment and productionization.</li>  <li style="">Identify workflow/process gaps and architect data-driven solutions for operational improvements.</li>  <li style="">Stay updated with advancements in AI, NLP, and LLMs; evaluate emerging algorithms for business applications.</li>  <li style="">Create documentation and present insights to stakeholders to ensure alignment with organizational objectives.</li></ul><h2 style="font-size: 1.5em"><b style="font-weight: 700">Required Qualifications</b></h2><ul>  <li style="">3+ years of experience as a Data Scientist or in a related role.</li>  <li style="">Strong problem-solving skills with a structured approach to complex business challenges.</li>  <li style="">Proficiency in Python (NumPy, Pandas, Scikit-learn, etc.) and SQL.</li>  <li style="">Hands-on experience in model development, validation, and deployment.</li>  <li style="">Expertise in NLP techniques (text classification, entity recognition, embeddings, summarization, etc.).</li>  <li style="">Experience working with Generative AI, LLMs, or transformer-based architectures.</li>  <li style="">Experience handling large datasets and writing production-grade code.</li>  <li style="">Strong communication skills with experience working with cross-functional stakeholders.</li></ul><h2 style="font-size: 1.5em"><b style="font-weight: 700">Preferred Qualifications</b></h2><ul>  <li style="">Experience with model deployment frameworks (MLflow, Docker, APIs, etc.).</li>  <li style="">Exposure to cloud platforms (AWS, Azure, or GCP).</li>  <li style="">Experience with RAG architectures or prompt engineering.</li>  <li style="">Familiarity with CI/CD practices for ML models.</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>

AIML Engineer - GenAI+NLP

<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 the 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="">Tiger Analytics is seeking a <b style="font-weight: 700">AI Solutions Architect (Presales Consultant)</b> is a critical technical and strategic role that serves as the bridge between our core AI offerings, the sales team, and the customer’s business needs. This role is responsible for translating complex customer challenges into compelling, scalable AI solutions, demonstrating technical feasibility, and articulating clear Return on Investment (ROI).</div><div style="">As the subject matter expert in Generative AI &amp; Agentic AI applications, driving the technical close on the most strategic enterprise opportunities.</div><div style=""><b style="font-weight: 700">Location: <br> </b>Hyderabad, Chennai, Bangalore</div><div style=""><br></div><div style=""><b style="font-weight: 700">Responsibilities</b></div><div style=""><b style="font-weight: 700">Job Responsibilities:</b></div><div style="">1. Lead technical discovery sessions to analyse customer environments, identify pain points, and design end-to-end AI solution architectures in collaboration with technical teams.</div><div style="">2. Define and validate integration approaches for AI solutions with existing enterprise systems such as CRM, ERP, and CPaaS platforms.</div><div style="">3. Conduct technical and business workshops, including whiteboarding sessions, with architects, engineering leaders, and CXOs to align on solution design.</div><div style="">4. Design and execute Proof of Concepts (PoCs) and rapid prototypes to demonstrate technical feasibility and measurable business outcomes.</div><div style="">5. Develop and maintain industry-specific AI demos and solution showcases to support presales and customer engagements.</div><div style="">6. Partner with Sales and Business Development teams to technically qualify opportunities and support deal strategy throughout the sales cycle.</div><div style="">7. Lead executive-level discussions and presentations, translating complex AI capabilities into clear business value and ROI.</div><div style="">8. Own technical solutioning and content for RFPs, RFIs, and proactive proposals, ensuring accuracy, compliance, and differentiation.</div><div style="">9. Identify technical risks, dependencies, and constraints within proposed solutions and define mitigation strategies.</div><div style="">10. Collaborate with Product and Engineering teams to incorporate PoC feedback and influence the AI product roadmap.</div><div style="">11. Stay current on GenAI and Agentic AI trends, competitive landscape, and emerging technologies.</div><div style="">12. Contribute to internal knowledge sharing, training, and best practices for AI solution selling.</div><div style=""><br></div>

TA India - Bangalore - ODC

AI Presales - BFS

<div style=""><b style="font-weight: 700">Job Title : Data Scientist - Data Science</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Location</b> <b style="font-weight: 700">: </b>&nbsp;Chennai, Bangalore, Hyderabad</div><div style=""><b style="font-weight: 700">Work Mode</b> : Hybrid</div><div style=""><b style="font-weight: 700">Experience Range</b> : 5 to 8 years</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=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b>&nbsp;</div><h3 style="font-size: 1.17em"><br></h3><h3 style="font-size: 1.17em"><b style="font-weight: 700">Key Responsibilities</b></h3><ul>  <li style="">Leverage Python for data manipulation, automation, and predictive modeling using libraries such as Pandas, NumPy, scikit-learn, and stats models.</li>  <li style="">Conduct advanced statistical analysis and causal inference to evaluate program effectiveness and business impact.</li>  <li style="">Design and implement experimentation frameworks and causal models to derive actionable insights.</li>  <li style="">Build, optimize, and manage analytical datasets to support scalable and reproducible data science workflows.</li>  <li style="">Develop and maintain modeling workflows in Databricks, including notebooks, jobs, and ML pipelines.</li>  <li style="">Ensure production-ready and well-documented analytical solutions with a focus on scalability and performance.</li>  <li style="">Collaborate with cross-functional teams and customer stakeholders to understand business requirements and translate them into analytical solutions.</li>  <li style="">Present insights, methodologies, and results clearly to technical and non-technical stakeholders.</li></ul><h3 style="font-size: 1.17em"><br></h3><h3 style="font-size: 1.17em"><b style="font-weight: 700">What do we expect?</b></h3><ul>  <li style=""><b style="font-weight: 700">Python (Hands-on):</b> Proficiency in Python for data manipulation, modeling, and automation using analytical and machine learning libraries such as Pandas, NumPy, scikit-learn, and statsmodels.</li>  <li style=""><b style="font-weight: 700">Databricks:</b> Hands-on experience with Databricks notebooks, workflows, and ML pipelines, along with familiarity in Delta Lake, Spark, and collaborative development environments.</li>  <li style=""><b style="font-weight: 700">Data Engineering &amp; Modeling Workflow Optimization:</b> Experience in building, optimizing, and managing analytical datasets and ensuring scalable, reproducible, and production-ready workflows.</li>  <li style=""><b style="font-weight: 700">Communication &amp; Stakeholder Engagement:</b> Strong ability to interact with customer stakeholders, understand business needs, and translate them into data-driven solutions.</li>  <li style=""><b style="font-weight: 700">Spark / PySpark:</b> Experience with distributed data processing frameworks.</li>  <li style=""><b style="font-weight: 700">ETL &amp; Data Pipeline Development:</b> Exposure to data integration, data cleaning, and transformation processes.</li>  <li style=""><b style="font-weight: 700">MLflow / Model Tracking Tools:</b> Familiarity with experiment tracking, model versioning, and reproducibility frameworks.</li>  <li style=""><b style="font-weight: 700">Visualization &amp; Reporting:</b> Ability to create dashboards and reports using Power BI, Tableau, or Python visualization libraries.</li>  <li style=""><b style="font-weight: 700">Cloud Platforms:</b> Experience with Azure, AWS, or GCP (preferably Azure in alignment with Databricks environments).<b style="font-weight: 700"><br></b></li></ul><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 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=""><br></div>

Data Scientist 

<div style=""><b style="font-weight: 700">Job Title : AIML Engineer-(AI FullStack)</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 autonomous full-stack engineer focused on building and deploying Generative AI applications and AI agents. This individual will work across frontend and backend, design and integrate LLM-powered features, and leverage Azure cloud services including vector search and modern deployment architectures</div><div style=""><b style="font-weight: 700">Technical Skills &amp; Responsibilities</b></div><div style="">Full-Stack &amp; Cloud Engineering:</div><ul>  <li style="">Strong experience with modern frontend + backend stacks (e.g., React, Node.js, Python, TypeScript, FastAPI, etc.)</li>  <li style="">Understands API design, modular architecture, and secure data flows</li></ul><div style="">LLM &amp; GenAI Integration</div><ul>  <li style="">Hands-on experience calling LLMs via API, including prompt orchestration and function calling</li>  <li style="">Skilled at indexing and retrieving data from vector databases (e.g., Azure AI Search hybrid + vector search)</li></ul><div style="">AI Agent Frameworks</div><ul>  <li style="">Experience building AI agents, including:    <ul>      <li style="">Attaching skills/plugins exposed as APIs</li>      <li style="">Using function calling / OpenAI tools paradigm</li>      <li style="">Familiarity with Semantic Kernel and Azure AI Agents Framework</li>      <li style="">Knowledge of MCP (Model Context Protocol) to expose internal systems and APIs as agent capabilities</li>    </ul>  </li></ul><div style="">DevOps / CI-CD / Azure</div><ul>  <li style="">Proficient with Git and repository branching strategies</li>  <li style="">Builds CI/CD pipelines and deploys workloads to Azure:    <ul>      <li style="">Azure Web Apps / Azure Container Apps / AKS / ACR</li>    </ul>  </li>  <li style="">Monitoring, observability, and strong operational mindset</li></ul><div style="">AI-Augmented Development</div><ul>  <li style="">Proficient with AI coding assistants (Cursor, GitHub Copilot, etc.) to maximize autonomy and delivery velocity</li></ul><div style=""><b style="font-weight: 700">Behavioral &amp; Delivery Expectations</b></div><ul>  <li style="">Operates independently, takes ownership from concept to &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;deployment</li>  <li style="">Problem-solver with strong communication skills</li>  <li style="">Thrives in fast-paced environments and continuously learns</li>  <li style="">Thinks proactively about reliability, performance, and security</li></ul>