The ideal candidate for this role should possess a strong blend of MLOps and ML engineering skills Technological Stack Python AWS services ECS Batch Compute S3 Timestream IAM CloudWatch Athena Airflow for orchestration MLflow for model versioning GitLab CI and eventually AWS SageMaker pipelines Data Engineering Skills Expertise in pipeline monitoring including getting data from Bulk CDM investigating query issues and sending output data to ALTO ML Engineering Skills Experience with debugging forecast and clustering models setting up and automating CI CD for ML workflows developing and deploying end-to-end ML pipelines data preparation training validation deployment and a solid background in ML frameworks like LightGBM MLOps Engineer to handle the tickets and Data Engineering tickets developmentAbout 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

📌 Machine Learning (Tamil Nadu)
🏢 Virtusa
📍 Tamil Nadu