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Tensorflow Pytorch Jobs in Massachusetts (NOW HIRING)

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement ...

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

TensorFlow * PyTorch * Scikit-learn * XGBoost * Strong understanding of: * Supervised and Unsupervised Learning * Deep Learning * Neural Networks * Natural Language Processing (NLP) * Computer Vision

Senior AI/ML Engineer

Boston, MA · On-site

$113K - $155K/yr

Strong proficiency in Python, TensorFlow, PyTorch, and Scikit-learn. Experience with LLMs, Generative AI, RAG, LangChain, and Vector Databases. Knowledge of AWS or Azure AI/ML Services. Experience ...

Data Scientist

Boston, MA · On-site

$120K - $135K/yr

Experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar Desired Qualifications * Experience deploying models into production environments * Exposure to cloud services from ...

Senior AI Engineer

Concord, MA · On-site

$114K - $157K/yr

... TensorFlow, PyTorch. Location: Belfast, NI (Hybrid) or Remote UK Responsibilities * Design and build production-ready AI/ML systems, with an emphasis on Standard Model LLM-powered product and ...

... TensorFlow, PyTorch, or similar Preferred : • Experience deploying models into production environments • Exposure to cloud services from AWS, Azure, or similar providers • Experience working ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Senior Machine Learning Engineer

Boston, MA · On-site +1

$133K - $175K/yr

Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). * Strong understanding of various machine learning algorithms,Large Language Models, and deep ...

Data Scientist

Boston, MA · On-site

$120K/yr

Experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar Desired Qualifications * Experience deploying models into production environments * Exposure to cloud services from ...

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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 cities in Massachusetts are hiring for Tensorflow Pytorch jobs? Cities in Massachusetts with the most Tensorflow Pytorch job openings:
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.
Full Stack Java Developer (Hybrid Onsite - Local candidates only for In Person Interview)

Full Stack Java Developer (Hybrid Onsite - Local candidates only for In Person Interview)

Xoriant Corporation

Quincy, MA • On-site

$55.25 - $71.25/hr

Other

Posted 18 days ago


Job description

Job Title :  Full Stack Java Developer

Location: Quincy, MA (Hybrid 3/4 days a week onsite)

Contract: W2 / C2C

Duration: Long term contract

Interview: In Person

 

Job Description:

  1. 10+ years of software development experience in Java/J2EE application development (Spring Framework, Spring Boot, RESTful APIs, Microservices Architecture)
  2. 2+ years of Python development for AI/ML and automation
  3. Experience building enterprise-scale, cloud-native applications (either AWS or Azure)
  4. Python programming (OOP, scripting, API development)
  5. Experience with AI/ML frameworks: LangChain, Hugging Face, Scikit-learn, TensorFlow/PyTorch (preferred)
  6. Experience in AI agents and workflow orchestration