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Tensorflow Pytorch Jobs in Concord, CA (NOW HIRING)

Concord, California Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch) Develop and maintain ML pipelines using tools like MLflow, Kubeflow ...

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Expert AI/ML Engineer

Oakland, CA · On-site

  • Medical

  • Dental

Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. Practical experience with MLOps concepts such as model ...

Python developer

Fremont, CA · On-site

$55.25 - $76/hr

... such as TensorFlow, PyTorch, or Scikit-learn • Proficiency in data handling and manipulation using libraries like NumPy and Pandas • Experience with SQL databases for managing and accessing ...

Expert AI/ML Engineer

Oakland, CA · On-site

  • Medical

  • Dental

Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. * Practical experience with MLOps concepts such as model ...

Senior​ AI/MLOPS Engineer

Pleasanton, CA · On-site

$75 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). * Knowledge of SQL and data processing. * Familiarity with cloud services (AWS, Azure, or GCP). * Exposure to MLOps ...

Senior AI/MLOPS Engineer

Pleasanton, CA · On-site

$75 - $80/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Knowledge of SQL and data processing. Familiarity with cloud services (AWS, Azure, or GCP). Exposure to MLOps tools ...

Python Developer

Concord, CA · On-site

$55.25 - $76/hr

Proficiency in Python, PySpark, TensorFlow, PyTorch, and cloud platforms such as Google Cloud Platform (Google Cloud Platform), Vertex AI, Google ADK, and MCP. * Experience in the financial services ...

Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow). * Expertise in one or more of the following areas: computer vision, large language models, recommender ...

Chief Architect - AI Systems

San Ramon, CA · On-site

  • Medical

  • Dental

  • Retirement

Lead the design and deployment of ML models using frameworks such as TensorFlow, PyTorch, and scikit-learn. * Software Architecture: Define and evolve the software architecture of our AI systems ...

Chief Architect - AI Systems

San Ramon, CA · On-site

  • Medical

  • Dental

  • Retirement

Lead the design and deployment of ML models using frameworks such as TensorFlow, PyTorch, and scikit-learn. * Software Architecture: Define and evolve the software architecture of our AI systems ...

Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch). Experience with cloud platforms and containerization (Docker, Kubernetes). Familiarity ...

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Tensorflow Pytorch information

See Concord, CA salary details

$41.1K

$134.7K

$215.6K

How much do tensorflow pytorch jobs pay per year?

As of Aug 17, 2026, the average yearly pay for tensorflow pytorch in Concord, CA is $134,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $149,200.00 per year, depending on experience, location, and employer.

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 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.

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 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.

What are popular job titles related to Tensorflow Pytorch jobs in Concord, CA?

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

What job categories do people searching Tensorflow Pytorch jobs in Concord, CA look for?

The top searched job categories for Tensorflow Pytorch jobs in Concord, CA are:

What cities near Concord, CA are hiring for Tensorflow Pytorch jobs?

Cities near Concord, CA with the most Tensorflow Pytorch job openings:

Infographic showing various Tensorflow Pytorch job openings in Concord, CA as of August 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $134,677 per year, or $64.7 per hour.

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Posted 3 days ago

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Job description

Hi,
ONLY LOCAL CANDIDATES - FACE TO FACE INTERVIEW MUST
Job Title: ML Ops Engineer
Location : Concord, California
Strong proficiency in Java and Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, TensorFlow, PyTorch)
Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or
Vertex AI.
Thanks & Regards,Preethi SReveille Technologies Inc.,