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Contract Tensorflow Jobs in Minnesota (NOW HIRING)

Centraprise

ML Engineer

Minneapolis, MN · On-site

Collaborate with Data Engineering on feature pipelines and data contracts. * Own production health ... Python, TensorFlow, PyTorch, Docker, REST APIs

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion ... TensorFlow) Experience building and deploying end-to-end ML/AI systems Ability to take solutions ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · On-site +1

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... TensorFlow, or Scikit-learn. * Expertise in deploying Python applications in Cloud service ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

We consider the work that we do on our government contracts as one of the ways that we give back to ... Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both ...

Kitware

Machine Learning Engineer

Minneapolis, MN

$85K - $125K/yr

We consider the work that we do on our government contracts as one of the ways that we give back to ... Experience with deep learning libraries (PyTorch, TensorFlow, etc.) * Strong background in both ...

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All JobsContract Tensorflow JobsContract Tensorflow Jobs in Minnesota

Contract Tensorflow information

What is the difference between Contract Tensorflow vs Contract Machine Learning Engineer?

AspectContract TensorflowContract Machine Learning Engineer
Required CredentialsProficiency in TensorFlow, Python, ML conceptsProficiency in ML frameworks, Python, data analysis
Work EnvironmentProject-based, remote or on-site, tech companiesProject-based, tech or research firms, collaborative teams
Employer & Industry UsageTech companies, startups, AI-focused firmsTech companies, consulting firms, research institutions
Search & Comparison IntentUnderstanding TensorFlow-specific roles, contract workBroader ML roles, contract opportunities in ML

Contract Tensorflow roles focus specifically on implementing and optimizing models using TensorFlow, requiring expertise in this framework. Contract Machine Learning Engineer positions encompass a wider range of ML tools and techniques, often including TensorFlow but also other frameworks. Both roles are project-based, typically in tech environments, but Contract Tensorflow is more specialized in deep learning with TensorFlow.

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 Contract Tensorflow jobs in Minnesota? For Contract Tensorflow jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Contract Tensorflow jobs in Minnesota look for? The top searched job categories for Contract Tensorflow jobs in Minnesota are:
What cities in Minnesota are hiring for Contract Tensorflow jobs? Cities in Minnesota with the most Contract Tensorflow job openings:
Contract Tensorflow jobs near you
ML Engineer

ML Engineer

Centraprise

Minneapolis, MN • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

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

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