The ML Ops Engineer will be responsible for designing building and maintaining the infrastructure and processes for deploying and managing machine learning models in production
Responsibilities
Understand and translate business and functional needs into machine learning problem statements
Translate complex machine learning problem statements into specific deliverables and requirements
Design and develop scalable solutions that leverage machine learning and deep learning models to meet enterprise requirements
Translate machine learning algorithms into production level code
Collaborate with development teams to test and deploy machine learning models
Monitor the performance of deployed models track data or concept drift and update or retrain models as needed
Ensure adherence to performance standards and compliance with data security requirements
Keep abreast with new tools algorithms and techniques in machine learning and work to implement them in the organization
Education
A bachelors degree in computer science data science applied mathematics software engineering or related masters degree preferred
Specialization in applied machine learning or machine learning infrastructure preferred
Experience
5 to 7 years of experience in developing and deploying enterprise scale machine learning solutions in a software engineering adjacent field
Experience developing and debugging in Python
Exposure to architectural patterns of large scale software applications
Required skills
Knowledge of working on any Cloud Environment GCP preferred
Proficiency in deploying machine learning algorithms as production ready API services
Advanced programming skills with Python
Ability to effectively communicate technical concepts and results to technical and business audiences in a comprehensive manner
Ability to collaborate effectively across multiple teams and stakeholders including analytics teams development teams product management and operations
Ability to work independently and in a fully remote environment
Willingness and ability to stay up to date on new ML AI technologies and their potential impact on the company
Shift Requirement
3PM to 12 midnight
Key job details
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 is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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