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<div style=""><b style="font-weight: 700">Title</b></div><div style=""><b style="font-weight: 700">Data Engineer / Senior Data Engineer – Data Engineering (Gen AI CoE)</b></div><div style=""><b style="font-weight: 700">Location: Chennai/Bangalore/Hyderabad</b></div><div style=""><b style="font-weight: 700">Experience: 5-10 Years</b></div><div style=""><b style="font-weight: 700">Employment Type: Full-Time</b></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=""><b style="font-weight: 700">Role Overview:</b></div><div style="">As a GenAI Engineer, you will be a key player in designing, building, and deploying sophisticated agentic AI systems. You will leverage your expertise in generative AI and multi agent frameworks to create solutions that can autonomously perform complex, multi-step tasks. This is a hands-on role that requires a deep understanding of data , AI models, orchestration, and the full AI/GenAI/MLOps lifecycle, with a particular emphasis on creating reliable, scalable, and secure autonomous agents.</div><div style=""><b style="font-weight: 700">Curious about the role?</b></div><ul>  <li style="">Strategic, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Leadership thinking, Dynamic mind, Proactive, eager to learn and pick-up &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;new tech very quickly.</li>  <li style="">Very &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;strong skills in Python, with experience in building scalable and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;optimized applications with open-source libraries.</li>  <li style=""><b style="font-weight: 700">Very Strong understanding of Data &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Engineering concepts</b>: Experience and understanding of    <ul>      <li style="">Designing and maintaining the data pipeline automations, Ingestion, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;data processing, optimizations ..etc.</li>      <li style="">Data structure &amp; modelling</li>      <li style="">Data quality</li>      <li style="">Data governance</li>      <li style="">Operations</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">GenAI Experience</b>:    <ul>      <li style="">Hands-on expertise with LLMs, Prompt Techniques, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Retrieval-augmented generation (RAG) techniques</li>      <li style="">Strong in agentic AI solutions frameworks, AgentOps</li>      <li style="">Finetuning Open source LLMs and fine-tuning frameworks</li>    </ul>  </li>  <li style=""><b style="font-weight: 700">Experience with Cloud &amp; Platforms</b>: Familiarity &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;with <b style="font-weight: 700">AWS, GCP, Azure,</b> <b style="font-weight: 700">Databricks </b>and<b style="font-weight: 700"> Snowflake</b></li></ul><div style=""><b style="font-weight: 700">Educational Background:</b></div><div style="">· Bachelor or Master’s degree in Computer Science, Engineering, or a related field</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="">Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style=""><em><b style="font-weight: 700">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</b></em></div>

TA India - Chennai - CLO

Senior Data Engineer - Gen AI

<div style=""><b style="font-weight: 700">Job Title: DE/SDE/Arch-Workiva&nbsp;</b></div><div style=""><b style="font-weight: 700">Bangalore | Chennai | Hyderabad</b></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 fullstack 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™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking an experienced&nbsp;<b style="font-weight: 700">Workiva resource</b>&nbsp;to support our banking client in implementing, enhancing, and managing Workiva solutions for financial reporting, regulatory compliance, and process automation. The ideal candidate will have a strong background in&nbsp;<b style="font-weight: 700">financial services</b>,&nbsp;<b style="font-weight: 700">regulatory reporting</b>, and&nbsp;<b style="font-weight: 700">Workiva Wdesk platform</b>&nbsp;configuration.</div><div style=""><br></div><h3 style="font-size: 1.17em"><b style="font-weight: 700">Key Responsibilities:</b></h3><ul>  <li style="">Implement, configure, and maintain&nbsp;<b style="font-weight: 700">Workiva Wdesk</b>&nbsp;solutions for financial, regulatory, and risk reporting.</li>  <li style="">Collaborate with finance, risk, and compliance teams to design automated reporting processes and streamline data workflows.</li>  <li style="">Develop and manage&nbsp;<b style="font-weight: 700">connected reporting templates</b>, dashboards, and reports.</li>  <li style="">Integrate Workiva with source systems (e.g., ERP, data warehouses, spreadsheets).</li>  <li style="">Support&nbsp;<b style="font-weight: 700">Regulatory Reporting</b>&nbsp;and&nbsp;<b style="font-weight: 700">Financial Reporting</b>.</li>  <li style="">Ensure data accuracy, consistency, and compliance across all Workiva deliverables.</li>  <li style="">Provide&nbsp;<b style="font-weight: 700">user training, documentation, and ongoing support</b>.</li>  <li style="">Partner with stakeholders to identify process improvements and automation opportunities within Workiva.</li></ul><h3 style="font-size: 1.17em"><br></h3>

DE/SDE/Arch-Workiva 

<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 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™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">About the role:</b></div><div style="">We at Tiger Analytics are looking for AI Product Managers in the Banking &amp;amp; Financial</div><div style="">Services space. This is a new and evolving role, and while the job description (JD)</div><div style="">below serves as a guideline, the role will evolve and grow with time, similar to the AI</div><div style="">space itself.</div><div style="">Candidates may come from an Analytics, Data Science, or AI consulting background, or</div><div style="">may have extensive experience in the functional aspects of banking (commercial, retail,</div><div style="">fraud, credit, etc.) with recent exposure to and learning in the AI space. Any sort of</div><div style="">hands-on Analytics and Data Science experience in past or present roles is preferred.</div><div style=""><br></div><div style="">Banking - AI product managers</div><div style="">The AI Product Manager is a critical role responsible for driving the strategy,</div><div style="">development, launch and delivery of Artificial Intelligence and Machine Learning (AI/ML)</div><div style="">powered products specifically for the banking and financial services domain. This role</div><div style="">acts as the key interface between client needs, industry expertise, and technology</div><div style="">delivery, ensuring our AI solutions deliver measurable business value and adhere to</div><div style="">strict regulatory standards. Along with the skillsets and experience mentioned below, we</div><div style="">are looking for people who are flexible and willing to scale and adapt in this evolving</div><div style="">field. This will necessitate having above average communication and stakeholder</div><div style="">management skills and flexibility to adapt and learn/scale in the area of AI product</div><div style="">Management in Banking and Financial services.</div><div style=""><br></div><div style="">Role Overview&nbsp;</div><div style="">The core mission is to identify and solve high-value problems for banking clients using AI. This involves managing the entire product lifecycle from ideation and client-specific customization through to deployment and delivery handoff.. Key Responsibilities • Customization and Solutioning: Customize existing organizational AI product assets and solutions (e.g., fraud engines, NLP-based chat solutions) for specific banking client use cases, accounting for their unique data structures and regulatory environments. • Domain Expertise &amp; Innovation: Brainstorm and conceptualize new Banking-specific AI capabilities and solutions by leveraging your expertise as a Banking product/domain Subject Matter Expert (SME), translating emerging trends into concrete product opportunities (e.g., new generative AI applications for compliance). • Product Definition &amp; Prototyping: Define the product vision and features, translating client requirements into clear, measurable user stories. Lead the process of MVP (Minimum Viable Product) and Wireframe development to visually communicate proposed solutions to both internal teams and external clients. • Execution &amp; Delivery: Own the end-to-end product lifecycle in a client delivery context. Drive Banking AI capability delivery for both new and existing clients, coordinating with Data Science, Engineering, and Implementation teams to ensure timely and high-quality deployment. • Technical Showcase &amp; Enablement: Jointly work with the Technology team to build and refine AI Demos and Showcases specific to Banking and Financial Services to support sales efforts, thought leadership, and client engagement.&nbsp;</div><div style=""><br></div><div style=""><br></div><div style=""><br></div><div style=""><br></div><div style=""><br></div><div style=""><br></div><div style=""><br></div>

TA India - Hyderabad - ODC

AI Product Manager - BFS

<div style=""><b style="font-weight: 700">Title: AI Cloud Innovator&nbsp;</b></div><div style="">Location: Chennai, Bangalore, Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global 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™ (2022-25), 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=""><b style="font-weight: 700">About the Role</b></div><div style="">We are seeking a visionary <b style="font-weight: 700">AI Cloud Innovator</b> with a strong background in consulting and engineering. This role is dedicated to accelerating our capabilities in the most <b style="font-weight: 700">emerging AI fields, specifically Generative AI, Large Language Models (LLMs), and Agentic AI systems.</b></div><div style="">This is a high-visibility, execution-focused role where your primary function is to <b style="font-weight: 700">rapidly ingest, test, and articulate our Point of View (POV)</b> on new cloud-native AI products and services from our core partners: <b style="font-weight: 700">Google Cloud Platform (GCP), AWS, Microsoft Azure, Databricks, and Snowflake.</b></div><div style="">You will be the engine of innovation, developing tangible, demoable Proofs of Concept (POCs) and technical solutions that solidify our position as a leading, continuously learning AI partner.</div><div style=""><b style="font-weight: 700">Key Responsibilities: The Innovation Engine</b></div><ul>  <li style=""><b style="font-weight: 700">Emerging Technology Mastery:</b> Be the first to experiment with and &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;master the latest Generative AI models, vector databases, multi-modal &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;capabilities, and agentic frameworks (e.g., LangChain, LlamaIndex, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;function calling, RAG) across all major cloud providers.</li>  <li style=""><b style="font-weight: 700">Rapid POV &amp; POC Development:</b> Design, build, and deploy &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;quick-turnaround, compelling POCs and technical demonstrations that &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;showcase our expertise and the immediate business value of these new &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;technologies.</li>  <li style=""><b style="font-weight: 700">Partner Alignment &amp; Positioning:</b> Work closely with Alliance/Partner teams &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;to create unique technical narratives and solutions tailored to joint &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;go-to-market efforts with GCP, AWS, Microsoft, Databricks, and Snowflake.</li>  <li style=""><b style="font-weight: 700">Technical Content Leadership:</b> Develop clear, structured technical &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;content—including code artifacts, solution templates, and concise &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;executive summaries (POVs)—that can be used by client-facing teams, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;marketing, and in partner forums.</li>  <li style=""><b style="font-weight: 700">Multi-Cloud Engineering:</b> Ensure all POCs are built leveraging &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;multi-cloud capabilities, demonstrating fluency and best practices in &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;integrating AI services across the specified platforms (AWS &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;SageMaker/Bedrock, Azure AI Services/OpenAI, GCP Vertex AI, Databricks &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Mosaic AI, Snowflake Cortex).</li>  <li style=""><b style="font-weight: 700">Knowledge Transfer:</b> Conduct internal workshops and training &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;sessions to disseminate cutting-edge knowledge, enabling other consulting &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;and delivery teams to scale successful POCs into production-ready &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;solutions.</li></ul><div style=""><b style="font-weight: 700">What You Bring:</b></div><ul>  <li style=""><b style="font-weight: 700">Deep AI/ML Expertise (5+ years):</b> Hands-on experience across traditional Machine Learning (MLOps, feature engineering) AND a demonstrated, keen interest or experience in Generative AI/LLMs.</li>  <li style=""><b style="font-weight: 700">Cloud Native Fluency (Mandatory):</b> Hands-on experience designing and deploying solutions on at least two of the following: <b style="font-weight: 700">GCP, AWS, Azure.</b> Familiarity with AI/ML services on Databricks and Snowflake is a significant advantage.</li>  <li style=""><b style="font-weight: 700">Agility &amp; Prototyping:</b> A proven ability to move rapidly from concept to code artifact, thrive in unstructured environments, and deliver high-quality, demo-ready prototypes quickly.</li>  <li style=""><b style="font-weight: 700">Generative AI Toolkit:</b> Practical experience with key GenAI &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;components such as prompt engineering, Retrieval-Augmented Generation (RAG), fine-tuning (LoRA, QLoRA), and building multi-step AI agents.</li>  <li style=""><b style="font-weight: 700">Communication &amp; Influence:</b> Exceptional ability to distill complex, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;highly technical concepts (e.g., transformer architectures, agent loop design) into clear, business-relevant language for clients and partners.</li>  <li style=""><b style="font-weight: 700">Consulting Mindset:</b> A strong focus on understanding the "why" behind business problems and proactively identifying where the newest AI innovations can deliver disproportionate value.</li></ul>

AI Cloud Innovator 

<div style="">Key Responsibilities &nbsp;</div><ul>  <li style="">Develop, implement, and maintain automated pipelines for loss forecasting reports using advanced data and &nbsp;reporting tools (e.g., Python, SQL, Tableau). &nbsp;</li>  <li style="">Automate end-to-end processes for Expected Credit Loss (ECL), Probability of Default (PD), Loss Given &nbsp;Default (LGD), Exposure at Default (EAD), and Transition Matrix–based frameworks.</li>  <li style="">Understanding of credit risk modeling (CECL, IFRS 9, stress testing, and Basel reporting).</li>  <li style="">Collaborate with risk, finance, and data engineering teams to gather requirements and ensure automation &nbsp;aligns with business and regulatory needs.&nbsp;</li>  <li style="">Design and optimize data extraction, transformation, and loading (ETL) processes to source data from &nbsp;multiple banking systems.</li>  <li style="">Build validation, reconciliation, and exception-handling routines to ensure reporting accuracy and integrity.</li>  <li style="">Create dashboards and self-service reporting tools for senior management and regulatory stakeholders.&nbsp;</li>  <li style="">Continuously improve automation frameworks, ensuring scalability and adaptability to regulatory changes.&nbsp;</li>  <li style="">Support ad-hoc analysis, model integration, and performance monitoring of forecasting methodologies.</li></ul><div style=""><br></div>

Banking Loss Forecasting Report Automation Specialist

<div style=""><br></div><div style="">As a Senior Systems Engineer, you will responsible for below:&nbsp;</div><div style=""><br></div><ul>  <li style="">Should have 4+ years of experience in Leading Production Support / data migration projects Primarily</li>  <li style="">in reporting tools Power BI/ Tableau and or ETL tools like (Ex Informatica, SSIS)</li>  <li style="">Flexible to work in 24X7 shifts.</li>  <li style="">Flexible to work from office 3-5days work week.</li>  <li style="">Oversee the day-to-day operations of the Technical Support Team.</li>  <li style="">Act as a SPOC for all stakeholders (customer and internal) who will take accountability for delivery and customer satisfaction.</li>  <li style="">Act as a mentor and provide oversight, coaching, and training to technical support staff.</li>  <li style="">First point of contact for all escalations.</li>  <li style="">Track SLAs and report the same as part of WSRs.</li>  <li style="">Should understand shift management roasters and be able to work in onsite-offshore model (multi-geo support team).</li>  <li style="">On-board all new technical support team members and work in review and creation of SOPs for recurring issues.</li>  <li style="">liaising with team members, management, and clients to ensure projects are completed to standard.</li>  <li style="">Should have excellent written and verbal communication skills and experience in managing communications in Support mode, Critical Incident management, Problem management notifications.</li>  <li style="">Good Hands-on knowledge of ETL Tools (Ex Informatica, Oracle Data integrator or SSIS ) SQL, PL SQL,</li>  <li style="">Unix/ Linux commands would be an added advantage</li>  <li style="">Ability to work independently and work in a team in a collaborative fashion.</li></ul>

Senior System Engineer - Informatica

<div style=""><br></div><div style="">As a Lead Systems Engineer, you will responsible for below:&nbsp;</div><div style=""><br></div><ul>  <li style="">Should have 6+ years of experience in Leading Production Support / data migration projects Primarily</li>  <li style="">in reporting tools Power BI/ Tableau and or ETL tools like (Ex Informatica, SSIS)</li>  <li style="">Flexible to work in 24X7 shifts.</li>  <li style="">Flexible to work from office 3-5days work week.</li>  <li style="">Oversee the day-to-day operations of the Technical Support Team.</li>  <li style="">Act as a SPOC for all stakeholders (customer and internal) who will take accountability for delivery and customer satisfaction.</li>  <li style="">Act as a mentor and provide oversight, coaching, and training to technical support staff.</li>  <li style="">First point of contact for all escalations.</li>  <li style="">Track SLAs and report the same as part of WSRs.</li>  <li style="">Should understand shift management roasters and be able to work in onsite-offshore model (multi-geo support team).</li>  <li style="">On-board all new technical support team members and work in review and creation of SOPs for recurring issues.</li>  <li style="">liaising with team members, management, and clients to ensure projects are completed to standard.</li>  <li style="">Should have excellent written and verbal communication skills and experience in managing communications in Support mode, Critical Incident management, Problem management notifications.</li>  <li style="">Good Hands-on knowledge of ETL Tools (Ex Informatica, Oracle Data integrator or SSIS ) SQL, PL SQL,</li>  <li style="">Unix/ Linux commands would be an added advantage</li>  <li style="">Ability to work independently and work in a team in a collaborative fashion.</li></ul>

Lead System Engineer - Power BI

<div style=""><b style="font-weight: 700">Job Title: Senior Data Scientist &nbsp;</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><b style="font-weight: 700">Notice Period: Immediate / Less than 15 days</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly skilled Senior Data Scientist specializing in Generative AI and Large Language Models (LLMs). The candidate should have strong expertise in designing, fine-tuning, and deploying GenAI solutions for enterprise use cases.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Design and implement LLM-based solutions (text summarization, Q&amp;A, content generation, code generation, etc.).</li>  <li style="">Build and optimize Text to SQL pipelines to enable natural language querying of structured data.</li>  <li style="">Hands on experience with LLMs for time series forecasting (Eg. Time GPT)</li>  <li style="">Fine-tune and optimize pre-trained foundation models (OpenAI, Hugging Face, Llama, etc.) on domain-specific datasets.</li>  <li style="">Build RAG (Retrieval-Augmented Generation) pipelines using vector databases</li>  <li style="">Develop Lang Chain- or LangGraph-style orchestration workflows with multi-agent setups.</li>  <li style="">Collaborate with MLOps/Engineering teams to ensure scalable deployment and monitoring of GenAI solutions.</li>  <li style="">Work closely with business stakeholders to identify new AI-driven automation and augmentation opportunities.</li>  <li style="">Research &amp; Development: Stay up-to-date on industry trends and advancements in GenAI methodologies and tools. Propose and implement innovative solutions to improve solutions.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Qualifications: </b>7+ years of hands-on experience in Data Science/ML and strong expertise in designing, fine-tuning, and deploying GenAI solutions for enterprise use cases</div><div style=""><br></div><div style=""><b style="font-weight: 700">Education: </b>A bachelor's or master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Skills:</b></div><ul>  <li style="">Proficiency in Python, PySpark, and SQL.</li>  <li style="">Experience with transformer models</li>  <li style="">Hands-on with vector DBs and semantic search.</li>  <li style="">Familiarity with prompt engineering, fine-tuning, and evaluation techniques.</li>  <li style="">Good understanding of MLOps practices (MLflow, Docker, CI/CD pipelines).</li>  <li style="">Experience with Azure cloud platform &amp; Data Bricks</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Soft Skills:</b></div><ul>  <li style="">Excellent problem-solving and analytical skills.</li>  <li style="">Strong communication and storytelling abilities to convey complex ideas.</li>  <li style="">Ability to work both independently and collaboratively in a fast-paced environment.</li>  <li style="">A proactive and adaptable mindset, with a continuous learning approach.</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=""><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>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

Senior Data Scientist - GenAI 

<div style=""><b style="font-weight: 700">Job Title: Data Scientist &nbsp;</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><b style="font-weight: 700">Notice Period: Immediate / Less than 15 days</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly experienced and domain-focused Data Scientist specializing in network design and graph-based modeling. The ideal candidate will have expertise in applying graph theory and optimization techniques and experience of using NetworkX to solve large-scale supply chain, logistics, or network problems, a proven ability to leverage PySpark on Azure/Databricks for scalable solutions, and a track record of delivering measurable business impact.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style="">Domain Leadership &amp; Modeling: Design and implement network optimization models for distribution, supply chain, or connectivity planning. Apply graph theory algorithms to real-world datasets.</li>  <li style="">Big Data &amp; Cloud Implementation: Utilize PySpark to process, clean, and engineer features from massive, distributed datasets.</li>  <li style="">Databricks: Experience developing and executing data science notebooks and ML pipelines on Databricks, ensuring optimized performance and cost efficiency.</li>  <li style="">Collaboration: Work closely with cross-functional teams, including data engineering, business intelligence, and business leaders, to understand requirements and ensure solutions align with business goals.</li>  <li style="">MLOps &amp; Production: Establish and maintain robust MLOps practices, including model versioning, continuous integration/continuous deployment (CI/CD), and monitoring of production models deployed in the cloud environment.</li>  <li style="">Data Analysis &amp; Storytelling: Leverage graph databases and visualization tools for analysis and insights.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Qualifications</b></div><div style=""><b style="font-weight: 700">Experience:</b> 3+ years of professional experience in a Data Scientist or Machine Learning Engineer role.</div><div style=""><b style="font-weight: 700">Domain Expertise:</b> Mandatory 3+ years of experience working specifically within the Supply Chain industry.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Stack:</b></div><ul>  <li style="">Proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn, TensorFlow/ PyTorch).</li>  <li style="">Advanced proficiency in PySpark for large-scale data processing and machine learning model development.</li>  <li style="">Experience with Azure cloud services relevant to data science (e.g., Azure ML, Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li>  <li style="">Expertise working with Databricks (Delta Lake, MLflow) for model training, tracking, and deployment.</li>  <li style="">Strong SQL skills for data querying and manipulation.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Education:</b> Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Operations Research, Engineering).</div><div style=""><br></div><div style=""><b style="font-weight: 700">Skills:</b></div><ul>  <li style="">Hands-on experience in network design and/or graph theory projects.</li>  <li style="">Strong understanding of graph algorithms, combinatorial optimization, and network flows.</li>  <li style="">Experience with NetworkX</li>  <li style="">Familiarity with supply chain network design tools (e.g., Llamasoft, AnyLogistix) is a plus.</li>  <li style="">Strong analytical, mathematical, and problem-solving skills.</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=""><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>

Data Scientist - Network Design

<div style=""><b style="font-weight: 700">Job Title: Senior Data Scientist&nbsp;</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><b style="font-weight: 700">Notice Period: Immediate / Less than 15 days</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are seeking a highly experienced and domain-focused Senior Data Scientist to lead advanced analytics and machine learning initiatives with transportation and logistics operations experience. The ideal candidate will have deep expertise applying data science methodologies to solve complex transportation challenges, a proven ability to leverage PySpark on Azure/Databricks for scalable solutions, and a track record of delivering measurable business impact.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><ul>  <li style=""><b style="font-weight: 700">Domain Leadership &amp; Modeling:</b> Lead the design, development, and deployment of sophisticated predictive and prescriptive models specifically for the transportation domain (e.g., route optimization, demand forecasting, predictive maintenance for fleet, network efficiency, logistics planning, and anomaly detection).</li>  <li style=""><b style="font-weight: 700">Big Data &amp; Cloud Implementation:</b> Architect and implement scalable machine learning workflows and ETL processes utilizing PySpark within the Azure ecosystem (e.g., Azure Synapse, Azure Data Lake Storage).</li>  <li style=""><b style="font-weight: 700">Databricks Expertise: </b>Serve as the technical expert for developing and executing data science notebooks and ML pipelines on Databricks, ensuring optimized performance and cost efficiency.</li>  <li style=""><b style="font-weight: 700">Collaboration &amp; Strategy:</b> Partner closely with operations, engineering, and business intelligence teams to identify high-impact analytical opportunities and translate complex business problems into clear data science initiatives.</li>  <li style=""><b style="font-weight: 700">MLOps &amp; Production:</b> Establish and maintain robust MLOps practices, including model versioning, continuous integration/continuous deployment (CI/CD), and monitoring of production models deployed in the cloud environment.</li>  <li style=""><b style="font-weight: 700">Data Analysis &amp; Storytelling:</b> Conduct in-depth analysis of transportation data, providing actionable insights and communicating complex technical findings and their business value to both technical and executive stakeholders.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Qualifications</b></div><div style=""><b style="font-weight: 700">Experience:</b> 5+ years of progressive professional experience in a Data Scientist or Machine Learning Engineer role.</div><div style=""><b style="font-weight: 700">Domain Expertise:</b> Mandatory 3+ years of experience working specifically within the Transportation, Logistics, Supply Chain, or Fleet Management industry.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Technical Stack:</b></div><ul>  <li style="">Expert proficiency in Python and its data science ecosystem (e.g., pandas, NumPy, scikit-learn, TensorFlow/PyTorch).</li>  <li style="">Advanced proficiency in PySpark for large-scale data processing and machine learning model development.</li>  <li style="">Expert experience with Azure cloud services relevant to data science (e.g., Azure ML, Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li>  <li style="">Mandatory expertise working with Databricks (Delta Lake, MLflow) for model training, tracking, and deployment.</li>  <li style="">Strong SQL skills for data querying and manipulation.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">Education: </b>Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Operations Research, Engineering).</div><div style=""><br></div><div style=""><b style="font-weight: 700">Skills:</b></div><ul>  <li style="">Proven ability to work with unstructured and distributed data sources common in the transportation sector (telematics, GIS/location data, sensor data).</li>  <li style="">Excellent written and verbal communication skills, capable of presenting complex results to a non-technical audience.</li>  <li style="">Demonstrated experience delivering production-ready machine learning solutions with measurable business impact.</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=""><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>