Machine Learning Engineer Job at Virtusa in Minneapolis
Virtusa, Minneapolis, MN, United States
Location: Minneapolis, Minnesota, United States
Job Overview
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
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.
Collaborate with Data Engineering on feature pipelines and data contracts.
Own production health: drift detection, performance regression, rollback strategies, and incident response.
Required Qualifications
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.
Equal Opportunity Employer
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
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Job Overview
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
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.
Collaborate with Data Engineering on feature pipelines and data contracts.
Own production health: drift detection, performance regression, rollback strategies, and incident response.
Required Qualifications
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.
Equal Opportunity Employer
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
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