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Tensorflow Pytorch Jobs in Connecticut (NOW HIRING)

Iberdrola

Lead Engineer - Cloud & Gen AI

Orange, CT · On-site

$59.75 - $79.75/hr

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

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

$59.75 - $79.75/hr

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 ...

Catalyst Labs

ML Engineer

Greenwich, CT · On-site

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

Catalyst Labs

ML Engineer

Stamford, CT · On-site

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

Cisco

Applied AI Scientist

Stamford, CT · On-site

... PyTorch, TensorFlow) * 1+ year experience translating research ideas into production systems. Preferred Qualifications: * Deep experience with graph representation learning, graph transformers (e.g ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills: * Hands ...

Munich Re

Senior Data Scientist

Hartford, CT · On-site

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills: * Hands ...

Munich Re

Data Scientist

Hartford, CT

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills:

Munich Re

Data Scientist

Hartford, CT · On-site

Experience with deep learning frameworks (TensorFlow, Keras, PyTorch, etc.) is a plus * Experience with Bayesian programming languages/frameworks such as Stan, or PyMC3 is a plus Knowledge and Skills:

Hyperfine

Senior AI Scientist

Guilford, CT

$160K - $185K/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

$160K - $185K/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 Pytorch information

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What are popular job titles related to Tensorflow Pytorch jobs in Connecticut?

For Tensorflow Pytorch jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Connecticut look for?

The top searched job categories for Tensorflow Pytorch jobs in Connecticut are:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Connecticut as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Lead Engineer - Cloud & Gen AI

Iberdrola

Orange, CT • On-site

$59.75 - $79.75/hr

Other

Medical, Dental, Vision, Retirement

Posted 22 days ago

Job description

Lead Engineer - Cloud & Gen AI
Reports to: Senior Manager - IT Infrastructure
Location: In Office, Orange CT
The base salary range for this position is dependent upon experience and location, ranging from:
  • $141,120 - $176,400

What We Offer:
  • Competitive benefits and growth opportunities
  • Generous performance-based bonuses
  • 12% 401(k) match
  • Comprehensive health, dental, and vision insurance
  • Tuition reimbursement
  • Professional development and clear career-advancement pathways

For more information, please visit: Benefits - Avangrid
Job Summary
The Lead Engineer, Cloud and Generative AI (Artificial Intelligence) is the Subject Matter Expert (SME) with designing, implementing, and managing scalable cloud infrastructure solutions on AWS and Azure to support cutting-edge Generative AI applications. This role requires collaboration with data scientists and AI researchers to deploy and optimize AI models, ensuring the security, reliability, and performance of cloud-based AI systems. The incumbent will utilize Infrastructure as Code (IaC) tools, such as Terraform, to automate cloud infrastructure provisioning and management.
The Lead Engineer, Cloud and Generative AI will provide technical leadership, and mentorship will guide team members on cloud and AI-related projects, while problem-solving skills to troubleshoot and resolve issues related to cloud infrastructure and AI model deployment. This role is expected to remain up to date with the latest advancements in AWS, Azure, and Generative AI, you will apply this knowledge to continuously improve our systems. Your documentation of best practices, processes, and procedures will ensure smooth cloud and AI operations.
This role will report into the Senior Manager - IT Infrastructure.
Key Responsibilities
  • Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure.
  • Collaborates with data scientists and AI researchers to deploy and optimize AI models.
  • Ensures the security, reliability, and performance of cloud-based AI systems.
  • Utilizes Terraform for infrastructure as Code (IaC) automation.
  • Provides technical leadership and mentorship to team members.
  • Remains current with advancements in AWS, Azure, and Generative AI.
  • Troubleshoots and resolves cloud infrastructure and AI model deployment issues.
  • Documents best practices, processes, and procedures.
  • Designs, implements, and manages scalable cloud infrastructure solutions on AWS and Azure to support Generative AI applications.

Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field and a minimum of 10 years of relevant experience. An equivalent combination of education and experience may be considered.
  • Demonstrated experience designing and implementing large scale complex network solutions.
  • Three or more years of AI experience.
  • Proven experience as a Cloud Engineer with a strong understanding of AWS and Azure cloud platforms.
  • Proficiency in machine learning (ML) and AI models.
  • 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 containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Hands-on experience with Terraform for Infrastructure as Code (IaC).
  • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Excellent communication and interpersonal skills.
  • Demonstrated expertise in vector databases and their application within the GenAI framework.
  • Desirable knowledge of AI Agents through orchestrators.
  • Desirable knowledge of frameworks such as Langchain, Semantic Kernel, Spring AI.

Preferred Qualifications
  • Five years of AI experience
  • Certifications in AWS and Azure technologies (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).

#LI-Onsite
#LI-VF1
Company:
AVANGRID SERVICE COMPANY
Mobility Information
Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.
At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at
Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.
Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.
Job Posting End Date:
August-31-2026

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