Data Science
2 days ago
Key Responsibilities:
Design and implement end-to-end ML pipelines using tools like MLflow, KubeFlow, DVC, and Airflow.
Develop and maintain CI/CD workflows using Jenkins, CircleCI, Bamboo, or DataKitchen.
Collaborate with data scientists to productionize ML models and ensure reproducibility and scalability.
Manage data versioning and lineage using Pachyderm or DVC.
Monitor model performance and system health using Grafana and other observability tools.
Write robust and maintainable code in Python, Go, R, or Julia.
Automate workflows and scripting using Shell Scripts.
Integrate with cloud storage solutions like Amazon S3 and manage data in RDBMS such as Oracle, SQL Server, or open-source alternatives.
Ensure compliance with data governance and security best practices.
Required Skills and Qualifications:
Strong programming skills in Python and familiarity with ML/DL libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with MLOps tools such as MLflow, KubeFlow, DVC, Airflow, or Pachyderm.
Proficiency in Docker and container orchestration using Kubernetes or OpenShift.
Experience with CI/CD tools like Jenkins, CircleCI, Bamboo, or DataKitchen.
Familiarity with cloud storage and data management practices.
Knowledge of SQL and experience with RDBMS (Oracle, SQL Server, or open-source).
Experience with monitoring tools like Grafana.
Strong understanding of DevOps and software engineering best practices.
**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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