Senior Specialist - Data Sciences

Role Summary

MLAI Engineer is the crosscutting AI capability within the Data AI POD The role is responsible for embedding AIML capabilities across the enterprise data platform leveraging Snowflake Cortex Snowflake Intelligence AgenticAI patterns The role bridges the Data Platform and AI Stack enabling AIdriven analytics operational insights decision support and agentic workflow execution over canonicalized data domains Key Responsibilities Integrate Snowflake Intelligence AI assistant capabilities into the data platform for naturallanguage querying automated insights and selfserve analytics Integrate with AgenticAI patterns for agentic execution within workflows humanintheloop orchestration embedded in business processes Connect AI capabilities with the Zurich Group GenAI Lounge for enterprisegoverned generative AI ensuring compliance with ZCM and Zurich Group AI governance standards Embed AI assistants and copilots into the Universal Ops UI Neutrinos and customerfacing portals via API integration Collaborate with the Data Tech Lead on data platform architecture decisions impacting AIML workloads Partner with the Integration ART to expose AI capabilities via APIs aligned to ConnectZ standards Stay current on Snowflake Cortex Snowflake Intelligence and GenAI advancements recommend adoption of new capabilities to the POD MustHave Skills Qualifications 6 years in ML engineering or AI development with at least 2 years deploying MLAI solutions on cloud data platforms Handson experience with Snowflake Cortex functions LLM inference ML model deployment vector embeddings similarity search Strong Python proficiency ML frameworks scikitlearn XGBoost PyTorchTensorFlow data libraries pandas NumPy Familiarity with Snowflake Intelligence for conversational analytics Experience with LLMGenAI integration prompt engineering RAG RetrievalAugmented Generation finetuning and AI agent patterns Understanding of MLOps model versioning CICD for ML model monitoring drift detection Solid SQL skills and understanding of data platform architecture Snowflake data warehousing lakehouse Experience working in AgileSAFe delivery teams Strong communication skills ability to translate AI capabilities into business value for nontechnical stakeholders GoodtoHave Preferred Experience with Databricks ML MLflow Feature Store Model Serving Databricks is the longerterm analytics direction Insurance domain experience claims fraud detection underwriting models customer lifetime value marketing mix modeling Experience with AgenticAI or agentic workflow patterns multiagent orchestration tooluse humanintheloop Familiarity with Zurich Group GenAI Lounge or enterprise AI governance frameworks Experience integrating AIML outputs into BI tools Power BI Tableau and operational UIs AWSAzure ML services experience SageMaker Azure ML

Mandatory Skills : Snowflake-Data Science

Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks:

Comprehensive Medical Plan Covering Medical, Dental, Vision Short Term and Long-Term Disability Coverage 401(k) Plan with Company match Life Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer : The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.