Job Description

Key Responsibilities:


1. Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment


2. Collaborate with data scientists and software engineers to operationalize ML models


3. Develop and maintain CI/CD pipelines for ML workflows


4. Implement monitoring and logging solutions for ML models


5. Optimize ML infrastructure for performance, scalability, and cost-efficiency


6. Ensure compliance with data privacy and security regulations


Required Skills and Qualifications:


1. Strong programming skills in Python, with experience in ML frameworks


2. Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes)


3. Proficiency in cloud platform (AWS) and their ML-specific services


4. Experience with MLOps tools


5. Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.)


6. Knowledge of data versioning and model versioning techniques


7. Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack)


8. Knowledge of distributed training techniques


9. Experience with ML model serving frameworks (TensorFlow Serving, TorchServe)


10. Understanding of ML-specific testing and validation techniques

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.