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Contract Google Machine Learning Engineer Jobs in Minnesota

... data contracts. - Own production health: drift detection, performance regression, rollback ... Role Summary:- Builds, trains and tunes machine learning models. Translates data science ...

Role Summary:- Builds, trains and tunes machine learning models. Translates data science ... data contracts. - Own production health: drift detection, performance regression, rollback ...

Impact As a Staff Machine Learning Engineer on Shipt's Personalization Platform team you will drive key AI initiatives. In this role, you'll collaborate with Data Scientists to design and deploy ...

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Contract Google Machine Learning Engineer information

What are the most commonly searched types of Google Machine Learning Engineer jobs in Minnesota? The most popular types of Google Machine Learning Engineer jobs in Minnesota are:
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Infographic showing various Contract Google Machine Learning Engineer job openings in Minnesota as of May 2026, with employment types broken down into 2% As Needed, 88% Full Time, 5% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer

Machine Learning Engineer

Virtusa

Minneapolis, MN • On-site

Other

Posted 17 days ago


Job description

Role Summary:-


Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.


Ker Responsibilities

- 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.


Required Qualification:-

- 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).


Nice to have:-

- Experience with feature stores, model registries, and model monitoring stacks.

- GPU optimization and distributed training experience.

- Experience with responsible AI toolkits and compliance requirements.


 

Role Summary:-


Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.


Ker Responsibilities

- 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.


Required Qualification:-

- 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).


Nice to have:-

- Experience with feature stores, model registries, and model monitoring stacks.

- GPU optimization and distributed training experience.

- Experience with responsible AI toolkits and compliance requirements.


 


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About Virtusa

Sourced by ZipRecruiter

We are builders, makers, and doers with the technical skills and domain expertise to transform your business at scale and speed without disruption. Our unique Engineering First approach blends deep industry expertise and empowered, agile teams, to create holistic solutions that seamlessly move the business forward. We help clients engage with new technology paradigms to creatively build solutions that drive them to the forefront of their industries.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Westborough, MA, US

Year founded

1996

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