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ML Ops
Key Responsibilities
Develop and maintain CI/CD pipelines for ML models.
Automate model deployment, monitoring, and performance tracking.
Collaborate with data scientists to ensure models are productionready.
Implement tools for model versioning, testing, and validation.
Ensure compliance with data governance and security standards.
Optimize ML workflows for scalability and costefficiency.
Troubleshoot and resolve issues related to model performance and infrastructure.
Stay updated with the latest MLOps tools and best practices.
Support continuous improvement by identifying and solving opportunities.
Bachelor or Master degree in Computer Science, Data Science, or related field.
10+ years of experience in MLOps, DevOps, or related roles.
Experience on Sagemaker and Shakudo
Strong programming skills in Python; familiarity with ML frameworks like TensorFlow, PyTorch, or Scikitlearn.
Knowledge on Sagemaker, Shakudo
Experience with cloud platforms (AWS, Azure, GCP).
Proficiency in containerization (Docker) and orchestration (Kubernetes).
Knowledge of CI/CD tools (e.g., Jenkins, GitHub Actions).
Familiarity with monitoring tools (Prometheus, Grafana).
Excellent problemsolving and communication skills.
Mandatory Skills
Python
SQL
Machine Learning
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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