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Tensorflow Pytorch Jobs in Massachusetts (NOW HIRING)

Apple

Machine Learning Engineer - Health AIML

Cambridge, MA

$216K - $394K/yr

  • Medical

  • Dental

  • Retirement

Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface). Proficiency in building and troubleshooting modern ...

Apple

Machine Learning Engineer - Health AIML

Cambridge, MA

$216K - $394K/yr

  • Medical

  • Dental

  • Retirement

Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface). Proficiency in building and troubleshooting modern ...

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All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Massachusetts

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 Massachusetts?

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

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

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

What cities in Massachusetts are hiring for Tensorflow Pytorch jobs?

Cities in Massachusetts with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Massachusetts as of June 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

6J7KI3-Software Engineer-Artificial Intelligence 3 - 6J7-Artificial Intelligence

Indotronix International Corporation

Cambridge, MA • On-site

$72 - $90/hr

Contractor

Re-posted 5 hours ago

Job description

Indotronix is seeking an Onsite Job - Software Engineer-Artificial Intelligence 3, Cambridge, MA
 
Bachelors with 4+ years must
Shift: First
Start Time: 9:00 AM
End Time: 5:00 PM
Is Clearance Required To Start?: No
 
Job Description
The Client Company is seeking a broad range of experience levels including; Experienced, Senior, and Subject Matter Expert (SME)/Technical Lead Engineer (TLE) Level DevSecOps Software Engineers who will provide engineering support for a new SW engineering initiative involving AI tools.
This position will be physically located in Cambridge, MA.
Designs, develops, documents and implements appropriate and best-fit Artificial Intelligence algorithms and models using standard methods and tools considering ethical implications and potential biases. Uses existing AI tools to analyze their effectiveness in code generation, and application to avionics code. Collects, cleans, preprocesses and analyzes large datasets to ensure data quality, reliability and identifies patterns, trends, and insights. Tests, documents, and debugs Artificial Intelligence models and software systems. Trains, evaluates and optimizes performance and capabilities of Artificial Intelligence models. Conducts Safety Risk Management process for Artificial Intelligence models in accordance with organizational standards. Integrates and deploys efficient and scalable Artificial Intelligence models into production environments. Monitors, validates and improves in-production Artificial Intelligence models. Partners with cross functional teams and domain experts to understand business requirements, gather feedback, and iterate Artificial Intelligence models and algorithms. Researches and implements current and emerging technologies, tools, frameworks, and regulations in the engineering Artificial Intelligence environment and contributes to Artificial Intelligence Design Practice(s).
Experienced (Level 3)
• Strong willingness to leverage AI tools and technologies to accelerate software development and testing processes; familiarity with AI frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Experience in C, C++, Python, or modern coding languages.
• Familiarity with ADA or avionics software is a plus.
• Strong team player who enjoys collaboration and the fast-paced startup/high-tech culture.
• Excellent documentation and communication skills for effective collaboration with cross-functional teams.
Basic Qualifications (Required Skill/Experience):
• Bachelor's degree and typically 3 or more years' experience in a software engineering classification or a Master's degree with 1 year of experience in a software engineering classification.
• Must be able to work onsite in Cambridge, MA
• No relocation offered
Preferred Qualifications (Desired Skills/Experience):
• Education or experience in AI Algorithms and/or use of AI Tools
Typical Education/Experience:
Experienced (Level 3)
Education/experience typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry (e.g. Bachelor) and typically 3 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD, Master+1 years' related work experience).
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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