Job Description

Design, implement, and manage MLOps pipelines using Azure MLFlow, AWS SageMaker, Vertex.ai, Dataiku, and H2O.ai.


Automate the deployment, monitoring, and scaling of machine learning models.


Collaborate with data scientists and software engineers to integrate ML models into production environments.


Ensure the reliability, scalability, and performance of ML solutions.


Develop and maintain CI/CD pipelines for ML models.


Monitor and troubleshoot ML models in production to ensure optimal performance.


Stay updated with the latest advancements in MLOps and machine learning technologies.


Requirements:


Bachelor's or Master's degree in Computer Science, Engineering, or a related field.


Proven experience as an MLOps Engineer or similar role.


Strong proficiency in Azure MLFlow, AWS SageMaker, Vertex.ai, Dataiku, and H2O.ai.


Experience with CI/CD tools and practices.


Proficiency in Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).


Excellent problem-solving skills and attention to detail.


Strong communication and teamwork abilities.


Preferred Qualifications:


Experience with other cloud platforms and MLOps tools.


Knowledge of big data technologies (e.g., Hadoop, Spark).


Certification in cloud platforms or MLOps technologies. 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 30,000 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.