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Data Analytics Engineer; AI
Job in
Stamford, Fairfield County, Connecticut, 06902, USA
Listed on 2026-06-09
Listing for:
3B Staffing
Full Time
position Listed on 2026-06-09
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineer, Data Science Manager
Job Description & How to Apply Below
Senior AI Data Analytics Engineer
Stamford, CT (Hybrid) local only
EC:
- Financial Services Client
GC, USC
LLM optimization, prompt engineering, embeddings & vector DBs, Python, ML/AI deployment, MLOps (CI/CD, monitoring, governance), cloud (Azure/AWS/GCP), API integration, and scalable data engineering (Financial Services preferred).
AI Configuration & Optimization
- Configure, fine-tune, and optimize Large Language Models (LLMs) and advanced ML models
- Develop and manage prompt engineering frameworks, embeddings, and vector databases
- Translate business requirements into AI-powered workflows and intelligent automation solutions
- Deploy production-ready ML/AI models and data pipelines
- Integrate AI capabilities into enterprise applications, APIs, and analytics platforms
- Build scalable, end-to-end AI and data solutions aligned with business goals
- Ensure solutions deliver measurable performance and operational impact AI Infrastructure & MLOps
- Design and maintain MLOps frameworks including CI/CD pipelines
- Implement model monitoring, versioning, governance, and performance optimization
- Work across cloud platforms (Azure, AWS, or GCP) to scale AI workloads
- Enhance reliability, security, and compliance of AI systems
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field
- 5+ years of experience in Data Engineering, AI Engineering, or ML Engineering roles
- Hands-on experience with LLMs, prompt engineering, embeddings, and vector databases
- Strong programming skills in Python (preferred)
- Experience deploying ML/AI models into production environments
- Solid understanding of cloud platforms (Azure, AWS, or GCP)
- Experience building CI/CD pipelines for AI/ML systems
- Experience in Financial Services domain
- Familiarity with API development and microservices architecture
- Experience with model governance, compliance, and AI risk frameworks
- Knowledge of scalable distributed data systems
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