ML Engineer
1 week ago
Bachelors degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related discipline.
Substantial experience designing and managing ML workflows in Databricks, utilizing both provisioned clusters and serverless compute resources on AWS.
Demonstrated advanced programming skills in Python and SQL for data engineering and pipeline development.
Expertise using MLflow for experiment tracking, model management, and deployment within Databricks.
Working knowledge of ML frameworks, libraries, and technologies (e.g. TensorFlow, PyTorch, scikit-learn, XGBoost, MLflow).
Hands-on experience provisioning and optimizing compute resources for ML applications.
Experience with workflow orchestration tools (e.g. Airflow, Lakeflow Jobs) for pipeline automation and scheduling.
Practical experience operationalizing models and pipelines using GitHub for CI/CD, version control, and workflow automation.
Strong knowledge of FinOps for cloud cost optimization.
Effective collaboration and communication skills across technical and non-technical teams.
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
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ML Engineer
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AI/ML Engineer
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AI/ML Engineer
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