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Tensorflow Pytorch Jobs in Concord, CA (NOW HIRING)

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). * Hands ...

... Tensorflow, PyTorch) • Fullstack development • Located in the SF Bay Area or able to relocate to the Bay Area Preferred : • Experience with AI/ML models across various architectures and ...

ML libraries: scikit-learn, XGBoost, TensorFlow, PyTorch * Cloud platforms: GCP, AWS, Azure * Containerization: Docker, Kubernetes * Data engineering tools: Airflow, Spark * ML Ops frameworks and ...

New

Required : • 2+ years building and deploying ML/AI systems in production environments • Strong proficiency in Python and deep learning frameworks (TensorFlow, PyTorch) • Experience with LLM ...

... as TensorFlow, PyTorch, or similar. • Proficiency in Python and experience with cloud-based AI deployments. • Understanding of natural language processing (NLP) and real-time communication ...

Machine Learning Lead

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Practical experience in libraries like TensorFlow, PyTorch, scikit-learn, NumPy, or equivalent. * Exceptional writing and communication skills Additional Information Perks: * Employee Wellness and ...

Machine Learning Lead

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Practical experience in libraries like TensorFlow, PyTorch, scikit-learn, NumPy, or equivalent. * Exceptional writing and communication skills Additional Information Perks: * Employee Wellness and ...

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn * Familiarity with natural language processing techniques and libraries (e.g., NLTK, spaCy) * Knowledge of ...

Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging Face. * Strong analytical and problem-solving skills with a keen eye for detail. * Excellent ...

Showing results 21-40

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 18, 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.

MLOPS Engineer

Tror AI for everyone

Concord, CA • On-site

Contractor

Re-posted 23 days ago


Job description

Job Role: MLOPS Engineer

Job Location:  Concord, CA (100% Onsite)

Job Type: Contract

Key Responsibilities:

  • Develop and maintain ML pipelines using tools like MLflow, Kubeflow, or Vertex AI. 
  • Automate model training, testing, deployment, and monitoring in cloud environments (e.g., GCP, AWS, Azure).
  • Implement CI/CD workflows for model lifecycle management, including versioning, monitoring, and retraining.
  • Monitor model performance using observability tools and ensure compliance with model governance frameworks (MRM, documentation, explainability)
  • Collaborate with engineering teams to provision containerized environments and support model scoring via low-latency APIs
  • Leverage AutoML tools (e.g., Vertex AI AutoML, H2O Driverless AI) for low-code/no-code model development, documentation automation, and rapid deployment

Qualifications:

  • 10+ Years of professional experience in Software Engineering & 3+ Years in AIML, Machine Learning Model Operations.
  • 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).
  • Hands on experience delivering 3-4 end to end Production projects
  • Familiarity with data engineering tools (e.g., Airflow, Spark) and ML Ops frameworks.
  • Solid understanding of software engineering principles and DevOps practices.
  • Good communication skills and able to manage stakeholders.
 
Thanks & Regards

Nagendra

US IT Recruiter | TROR LLC

Ph: 615-857-6282 | Email: nregella@tror.ai

LinkedIn: https://www.linkedin.com/in/nagendra-nag-1b7665b8/

Website: https://tror.ai

Address: 401 Ronan Way, Spring Hill, TN 37174