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Tensorflow Jobs (NOW HIRING)

Python (Advanced), Machine Learning frameworks (TensorFlow/PyTorch) Mandatory: Kubernetes experience and cloud-native development practices Required Skills & Experience • Primary Technologies:

Python Automation Developer (Onsite)

Seattle, WA · On-site

$57.25 - $78.75/hr

TensorFlow and PyTorch; 4. Framework: Django ; Flask; FastAPI 5. Web Scraping and HTTP: Beautiful Soup; Scrapy Must Have: 3-4 Years of Experience in developing Automations using Python language Core ...

Proficiency in AI frameworks (TensorFlow, PyTorch, Keras, Scikit-learn) * Experience with LLMs, RAG, OpenAI APIs * Cloud/DevOps experience (Azure/AWS, SageMaker, Kubernetes, CI/CD) * Database ...

Python for Machine Learning

$51.50 - $71/hr

Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch. * Implement machine learning models and preprocessing pipelines using Scikit-learn. * Apply supervised and ...

Python developer

Fremont, CA · On-site

$55 - $75.75/hr

Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn * Proficiency in data handling and manipulation using libraries like NumPy and Pandas

AI / ML Engineering Senior Advisor

Deerfield, IL · On-site

$138K - $139K/yr

Python, TensorFlow, PyTorch, Keras, OpenCV, DVC, MLflow, Git, CI/CD Job Responsibilities: Work on ML Solution for RxQuality for MFC Project Skills and Experience Required: * 7+ years of hands-on ...

Security AI Architect

Houston, TX · On-site

$62 - $80.25/hr

Deep familiarity with PyTorch, TensorFlow, LangChain, Hugging Face Transformers, or equivalent AI middleware. Strong background building and scaling production-grade AI applications within ...

Senior Staff Software Engineer

Manhattan, NY · On-site

$135K - $178K/yr

PyTorch or TensorFlow * Backend Software Engineering experience * Experience shipping products/features from 0 to 1 * Strong architecture and system design experience Preferred: * Healthcare ...

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Tensorflow information

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$37.5K

$122.7K

$196.5K

How much do tensorflow jobs pay per year?

As of Jul 7, 2026, the average yearly pay for tensorflow in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a TensorFlow job?

A TensorFlow job typically involves developing, training, and deploying machine learning models using TensorFlow, an open-source AI framework. Responsibilities may include data preprocessing, building neural networks, optimizing model performance, and integrating models into applications. These roles are common in industries like healthcare, finance, and autonomous systems, requiring skills in Python, deep learning, and TensorFlow's ecosystem.

What are typical daily responsibilities for someone working in a TensorFlow Developer role?

As a TensorFlow Developer, your day-to-day responsibilities often include designing and building machine learning models, preprocessing data, conducting model training and evaluation, and deploying models to production environments. You may also work closely with data scientists, software engineers, and product managers to identify use cases, define project requirements, and optimize system performance. Regular tasks can involve using tools for data visualization, debugging, and performance tuning, as well as keeping up with the latest advancements in machine learning techniques. Collaboration and clear communication are key, as projects often require input and feedback from multiple technical and non-technical stakeholders.

What are the key skills and qualifications needed to thrive in the Tensorflow position, and why are they important?

To thrive in a TensorFlow Developer role, you need strong programming skills in Python, deep learning knowledge, and hands-on experience with TensorFlow and related AI frameworks. Familiarity with tools like Keras, TensorBoard, and cloud platforms such as Google Cloud is often required, and TensorFlow Developer certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help professionals navigate complex projects and collaborate effectively with cross-functional teams. These skills and qualities ensure the successful design, deployment, and optimization of machine learning models in real-world applications.

More about Tensorflow jobs
What cities are hiring for Tensorflow jobs? Cities with the most Tensorflow job openings:
What are the most commonly searched types of Tensorflow jobs? The most popular types of Tensorflow jobs are:
What states have the most Tensorflow jobs? States with the most job openings for Tensorflow jobs include:
Infographic showing various Tensorflow job openings in the United States as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
ML Engineer

ML Engineer

Centraprise

Minneapolis, MN • On-site

Contractor

Posted 12 days ago


Job description

Job Description:
  • Translate data science prototypes into production-grade ML services and pipelines.
  • Build training and inference code with reproducibility, versioning, and automated testing.
  • Implement scalable model serving (online/offline), batching, and latency/throughput optimization.
  • Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring).
  • Collaborate with Data Engineering on feature pipelines and data contracts.
  • Own production health: drift detection, performance regression, rollback strategies, and incident response."
  • 5+ years software engineering with 2+ years shipping ML models to production.
  • Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).
  • Experience with containers and orchestration (Docker/Kubernetes) and API development.
  • Understanding of ML system design (data leakage, training-serving skew, drift).
  • CI/CD and DevOps practices applied to ML workloads (MLOps).
  • Experience with feature stores, model registries, and model monitoring stacks.
  • GPU optimization and distributed training experience.
  • Experience with responsible AI toolkits and compliance requirements."
  • Python, TensorFlow, PyTorch, Docker, REST APIs