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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Specialist - Data Sciences - **Company:** LTM Inc - **Location:** Edison, NJ, United States - **Experience:** Expert - **Salary:** $81,215.0 - $152,798.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, ARM Architecture, Business Intelligence Development, Continuous Integration, Data Infrastructure, Data Warehousing, Decision Support Systems, Python (Programming Language), Machine Learning, NumPy, Cloud Services, Tensorflow, Standard Sql, Azure Machine Learning, Systems Integration, Large Language Models, Snowflake, Prompt Engineering, Pandas, Xgboost, Machine Learning Operations, Virtual Agents, Artificial Intelligence Markup Language (AIML), Databricks - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e4fa4d66fb7f1c69 ## About the Role 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 ## Description 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 ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! 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