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Tensorflow Pytorch Jobs in Connecticut (NOW HIRING)

Hyperfine

Senior AI Scientist

Guilford, CT

$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 ...

Hyperfine

Senior AI Scientist

Guilford, CT

$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 ...

The Hartford

Applied AI Data Scientist

Hartford, CT · On-site

$90K - $135K/yr

Build and optimize ML, deep learning, and GenAI models using modern frameworks (PyTorch, TensorFlow, scikitlearn). * Design and deliver RAG pipelines , hybrid retrieval systems, and vectorbased ...

Gartner

Sr. Data Scientist

Stamford, CT

Experience and proficiency with Python, machine learning tools (e.g., scikit-learn, spacy, nltk), deep learning frameworks (e.g., pytorch, tensorflow, huggingface), LLM frameworks (e.g., LangChain ...

JobTarget

Agentic AI Developer Intern

Stamford, CT · On-site

$27 - $30/hr

Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. * Experience working on academic, personal, open-source, or internship projects involving AI, ML, NLP ...

Deloitte

FDE Senior Manager

Stamford, CT

Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation. Relevant certifications - CISSP, cloud (AWS/Azure/GCP), or platform-specific IAM certifications (SailPoint, Okta, CyberArk ...

Pwc

AI Engineer / Data Scientist, AI Manager

Stamford, CT · On-site

$99K - $297K/yr

... PyTorch, TensorFlow, or JAX - Staying current on industry trends and tools - Mentoring junior team members with coaching and feedback Travel Requirements Up to 20% Job Posting End Date The salary ...

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

Proficiency with Python, ML frameworks (scikit-learn, NLTK, PyTorch, TensorFlow, Hugging Face, LangChain), SQL/relational databases (Oracle), NoSQL/graph databases (MongoDB), vector databases ...

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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, and why are they important?

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 June 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.
Senior AI Scientist

Senior AI Scientist

Hyperfine

Guilford, CT

$156K - $179K/yr

Other

Posted 6 days ago

Job description

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More

About The Role

Job Title: Senior AI Scientist

Location: Guilford, Connecticut

The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.

Key Responsibilities

  • Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products. 
  • Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. 
  • Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences. 
  • Maintain and continuously improve our existing DL models, with new training data and modeling techniques. 
  • Support software releases, and regulatory documentation. 

Knowledge, Skill & Abilities:

  • Ability to design new algorithms for practical problems on real-world datasets. 
  • Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion. 
  • Ability to work efficiently and clear roadblocks in timely manner. 
  • Adaptability to fast-changing work environment. 
  • Strong communication skills and proactiveness for working in a cross-functional collaborative environment. 

Required Education & Experience:

  • PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
  • Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
  • Experience working with Medical Images and Magnetic Resonance Images.
  • Software engineering experience in developing and maintaining systems using Python. 
  • 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 as business needs require.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

The annual base salary for this position is between $156,000 - $179,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

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