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Tensorflow Jobs in Minnesota (NOW HIRING)

Jobtailor

Machine Learning Engineer

Virginia, MN · On-site

$150 - $190/hr

Experience with Python coding and libraries, including scikit-learn, TensorFlow, or PyTorch * Experience developing code using a common programming language, including Python, C++, Rust, or Java

Pwc

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

Responsibilities - Designing and implementing AI systems to transform raw data into actionable insights - Developing scalable machine learning models using Python and TensorFlow - Integrating data ...

VivaQuant, Inc.

AI Engineer

Saint Paul, MN · On-site

$110K - $130K/yr

Experience or coursework in training models from scratch, fine-tuning pretrained models, data analysis and visualization using Python (NumPy, Pandas, Matplotlib, PyTorch/TensorFlow), data structures ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

Must-Have Skills (Non-Negotiable) 1. Core AI/ML Engineering Strong proficiency in Python (NumPy, Pandas, PyTorch/TensorFlow) Experience building and deploying end-to-end ML/AI systems Ability to take ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site +1

Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques. * Significant experience in AI/ML engineering with a strong data science ...

NxT Level

Principal AI / ML Engineer

Minneapolis, MN · On-site

Possesses comprehensive knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and advanced NLP techniques. * Significant experience in AI/ML engineering with a strong data science ...

ITW North Star Imaging

Software Engineer

Rogers, MN

$68K - $84K/yr

Experience with Machine Learning, tools like Claude/Cursor, PyTorch, TensorFlow * Self-motivated and solid problem-solving abilities * Team player - leverage existing code and teammates * Flexible ...

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Tensorflow information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do tensorflow jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tensorflow in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a TensorFlow?

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 does a TensorFlow developer do?

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?

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.

What jobs use TensorFlow?

Jobs that use TensorFlow include machine learning engineer, data scientist, AI researcher, and deep learning engineer. These roles involve developing and deploying neural network models, often requiring programming skills in Python and knowledge of machine learning frameworks. TensorFlow is widely used in industries such as technology, healthcare, finance, and automotive for tasks like image recognition, natural language processing, and predictive analytics.

What are the most commonly searched types of Tensorflow jobs in Minnesota?

The most popular types of Tensorflow jobs in Minnesota are:

What are popular job titles related to Tensorflow jobs in Minnesota?

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

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

The top searched job categories for Tensorflow jobs in Minnesota are:

Tensorflow jobs near you
Infographic showing various Tensorflow job openings in Minnesota as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.

Sr Machine Learning Engineer (15+ years IT exp)

Sidmans

Minneapolis, MN • On-site

$127K - $168K/yr

Other

Posted 20 days ago

Job description

Minneapolis, MN or Hartford, CT

- 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.
""- Software engineering with 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
 

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