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GEN AI Data Scientist EngineerPurple Drive • Hartford, Connecticut, United States
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GEN AI Data Scientist Engineer

Purple Drive
  • US
    Hartford, Connecticut, United States
  • US
    Hartford, Connecticut, United States
Ähnliche Jobs finden

Über

Senior GenAI Data Scientist / AI Engineer (LLM, RAG, Agentic AI) We are seeking a highly skilled GenAI Data Scientist / AI Engineer with strong expertise in Machine Learning, Generative AI, and Agentic AI systems. The ideal candidate will design, build, and deploy scalable AI/ML and GenAI solutions, including LLM-based applications, RAG pipelines, and intelligent AI agents, while ensuring performance, scalability, and business impact. Key Responsibilities Machine Learning & Data Science
Design, build, and deploy ML models using: XGBoost, LightGBM, Scikit-learn
Perform: Model training, validation, and optimization
Translate business problems into data-driven solutions
Generative AI & Agentic AI
Design and implement: LLM-based applications AI agents and workflows
Work with frameworks like: LangChain / LangGraph / CrewAI / AutoGen
Enable: Tool calling Task automation Multi-agent orchestration
RAG & Knowledge Systems
Build Retrieval-Augmented Generation (RAG) pipelines Work with: Vector databases Embeddings
Develop knowledge-based AI systems
Model Deployment & MLOps
Deploy models into production environments Implement: CI/CD pipelines MLflow / model monitoring
Ensure: Model performance Scalability Reliability
Cloud & Data Engineering
Work on cloud platforms: AWS / GCP
Build scalable data pipelines and ML workflows
Monitoring & Optimization
Monitor: Model performance Data drift
Continuously improve models and pipelines
Security & Compliance
Ensure: Data security Compliance standards
Implement governance for AI systems
Collaboration & Communication
Engage with: Business stakeholders Engineering teams
Translate business requirements into AI solutions Communicate model insights clearly
Required Skills Machine Learning (MANDATORY)
Strong experience with: XGBoost LightGBM Scikit-learn
Programming
Python (mandatory)
Generative AI
LLMs (GPT, Claude, etc.) Prompt engineering AI agents / Agentic workflows
RAG Systems
Vector databases Embeddings Retrieval pipelines
MLOps & Deployment
Model deployment CI/CD pipelines MLflow / monitoring tools
Cloud Platforms
AWS / GCP
Statistics & Analytics
Strong statistical modeling Data analysis and interpretation
Experience Required
8+ years of experience in: Data Science / Machine Learning
Hands‑on experience in: Generative AI (intermediate level)
Preferred Skills
Experience with: LangChain / CrewAI / AutoGen Vector DBs (Pinecone, FAISS, etc.)
Experience in: Agentic AI systems
Exposure to: Real-world GenAI applications
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  • Hartford, Connecticut, United States

Sprachkenntnisse

  • English
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