Senior Specialist - Data Sciences

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, 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

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 Skills

Mandatory Skills : Snowflake-Data Science Other details

(part of Larsen and Toubro (L&T)) 3.73.7 out of 5 stars Edison, NJ $81,215 - $152,798 a year, Pulled from the full job description

• Paid parental leave
• Parental leave
• Health insurance
• 401(k) matching
• Vision insurance
• Dental insurance
• Life insurance, 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., Compensation range: $81,215.00 to $152,798.00 per year

LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert