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Tensorflow Jobs in Connecticut (NOW HIRING)

Infosys

AI Engineer

Hartford, CT · On-site

TensorFlow, PyTorch, LangChain • Expertise in Generative AI, including: RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign ...

Commonfund

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Experience with ML frameworks as TensorFlow, PyTorch, or Scikit-learn * Strong analytical, problem-solving, and debugging skills. * Ability to work independently and collaboratively in a fast-paced ...

Infosys

AI Engineer

Hartford, CT · On-site

TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$156K - $179K/yr

Programming experience in PyTorch and/or TensorFlow. Physical Demands: * This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT. * Available nights, weekends, and holidays ...

Hyperfine

Senior AI Scientist

Guilford, CT · On-site

$156K - $179K/yr

Programming experience in PyTorch and/or TensorFlow. Physical Demands: * This is a full-time, on-site role based out of Hyperfine's office in Guilford, CT. * Available nights, weekends, and holidays ...

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Tensorflow information

See Connecticut salary details

$35.7K

$116.8K

$186.9K

How much do tensorflow jobs pay per year?

As of Jul 19, 2026, the average yearly pay for tensorflow in Connecticut is $116,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

What are the most commonly searched types of Tensorflow jobs in Connecticut? The most popular types of Tensorflow jobs in Connecticut are:
What are popular job titles related to Tensorflow jobs in Connecticut? For Tensorflow jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Tensorflow jobs in Connecticut look for? The top searched job categories for Tensorflow jobs in Connecticut are:
What cities in Connecticut are hiring for Tensorflow jobs? Cities in Connecticut with the most Tensorflow job openings:
Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Connecticut as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $116,759 per year, or $56.1 per hour.

AI Developer

Kanak Elite Services Inc

Conantville, CT • On-site

Contractor

Re-posted 22 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : AI Developer
Location          : Greenwich, CT Hybrid (Need local candidate)
Duration         : 6+ Months
Interview        : ONSITE INTERVIEW IS A MUST

Description

  • The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock, SageMaker, Lambda, and S3) and AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
  • You will collaborate with data engineering and application development teams to build intelligent, scalable, and secure AI solutions integrated into enterprise systems

Key Responsibilities

  • Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based frameworks.
  • Good to have experience on building AI Agents.
  • Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications.
  • Support deployment, monitoring, and lifecycle management of AI models following MLOps best practices.
  • Work closely with cross-functional teams to integrate AI components into applications and workflows.
  • Assist in evaluating and adopting emerging AI tools and frameworks to improve system performance.
  • Maintain code quality, documentation, and adherence to security and scalability standards.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
  • 3–5 years of experience in software or AI development.
  • Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Hands-on experience with AWS cloud services (Bedrock, SageMaker, Lambda, API Gateway).
  • Knowledge of LLMs, embeddings, and vector databases (Pinecone, FAISS, etc.).
  • Understanding of SQL/NoSQL databases and data integration techniques.
  • Strong problem-solving and communication skills.