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Tensorflow Engineer Jobs in Connecticut (NOW HIRING)

Prophecy Technologies

AI/ML Engineer

Hartford, CT · On-site

PyTorch or TensorFlow; Hugging Face Transformers. * Solid understanding of deep learning ... Software Engineering: Git, code reviews, unit/integration testing (pytest), REST APIs, basic system ...

Prattwhitney

AI/ML Software Engineer P2 (Onsite)

East Hartford, CT · On-site

$68.90 - $131.10/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... TensorFlow, JAX). * Experience solving machine‑learning problems involving scientific and ... engineering simulations (e.g., structural, CFD, thermal). Benefits & Compensation Salary range: $68 ...

Catalyst Labs

ML Engineer

Stamford, CT · On-site

... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...

Catalyst Labs

ML Engineer

Greenwich, CT · On-site

... TensorFlow. • Familiarity with cloud environments and infrastructure (preferably AWS). • Strong understanding of data pipeline design, real-time inference, and model monitoring. • Excellent ...

The Walt Disney Company

Sr Software Engineer

Bristol, CT · On-site

$122K - $161K/yr

... TensorFlow, PyTorch, Scikit-learn) or building AI/ML solutions. • Familiar with machine learning model training • Familiar with prompt engineering and interacting with LLMS • Experience ...

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview ... Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging ...

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar. * Proficiency in programming languages such as Python, Java, or .NET. * Experience with ...

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Experience in Generative AI, including experience with frameworks such as TensorFlow, PyTorch, or similar. * Proficiency in programming languages such as Python, Java, or .NET. * Experience with ...

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How much do tensorflow engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for tensorflow engineer in Connecticut is $89,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,700.00 and $103,200.00 per year, depending on experience, location, and employer.
What cities in Connecticut are hiring for Tensorflow Engineer jobs? Cities in Connecticut with the most Tensorflow Engineer job openings:
Tensorflow Engineer jobs near you

AI/ML Engineer

Prophecy Technologies

Hartford, CT • On-site

Full-time

Re-posted 4 days ago

Job description

Role Overview:
We are seeking an AI/ML Engineer with hands-on experience building, fine-tuning, and deploying LLM-based solutions. This role involves working on Natural Language Processing (NLP) and Generative AI (GenAI) use cases such as classification, summarization, and retrieval-augmented generation (RAG), in partnership with product and engineering teams to deliver scalable, secure, and measurable outcomes.
Key Responsibilities:
  • Design, build, and fine-tune NLP/LLM solutions for business use cases (e.g., classification, summarization, Q&A).
  • Develop efficient, well-documented Python code for training, inference, and evaluation pipelines.
  • Build RAG applications using embeddings, vector databases, and prompt engineering techniques.
  • Integrate LLM applications into services/APIs and ensure performance, reliability, and scalability.
  • Establish model evaluation, monitoring, and governance practices (quality, safety, bias, drift).
  • Collaborate with data engineering and platform teams on data pipelines, deployments, and CI/CD.

Required Skills:
  • 6+ years of overall experience in software development focusing on AI/ML engineering.
  • 2+ years of hands-on experience with deep learning for NLP/GenAI.
  • Strong Python proficiency, including writing production-quality, testable, maintainable code.
  • Experience with deep learning frameworks and libraries: PyTorch or TensorFlow; Hugging Face Transformers.
  • Solid understanding of deep learning architectures and modern NLP/LLM concepts (tokenization, attention/transformers, fine-tuning approaches).
  • Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.

Qualifications:
  • 6+ years of overall experience in software development focusing on AI/ML engineering.
  • 2+ years of hands-on experience with deep learning for NLP/GenAI.
  • Strong Python proficiency.
  • Experience with PyTorch or TensorFlow; Hugging Face Transformers.
  • Solid understanding of deep learning architectures and modern NLP/LLM concepts.
  • Experience building rapid prototypes and APIs using FastAPI/Flask and/or Streamlit.

Preferred Skills:
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, or similar).
  • Experience with vector databases and embedding workflows (e.g., FAISS, Pinecone, Weaviate, Chroma, Azure AI Search).
  • Experience deploying and scaling ML/LLM workloads on cloud platforms (Azure preferred; GCP/AWS acceptable).
  • Familiarity with agentic architectures and multi-agent patterns (e.g., AutoGen or similar).
  • Healthcare domain knowledge and/or experience building solutions in regulated environments.

Standard Technical Skills:
  • MLOps & Deployment: Model packaging and serving, CI/CD, containers (Docker), orchestration (Kubernetes), experiment tracking (MLflow), model registry, monitoring/observability.
  • LLM Evaluation: Offline/online evaluation, prompt/version management, automated testing, hallucination and factuality checks, retrieval evaluation, human-in-the-loop review.
  • Software Engineering: Git, code reviews, unit/integration testing (pytest), REST APIs, basic system design, performance optimization.
  • Security & Compliance: Secure coding, secrets management, PII/PHI handling, access control; familiarity with responsible AI principles is a plus.

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