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Must be in a Lead Capacity and in a position to mentor resources.
Hands-on experience with the following tools and technologies.- Python- Jupyter Notebook- Flask / Django / Fast API- Proficiency in both SQL and NoSQL databases- Utilization of Python libraries such as Pandas, Numpy, Open-Cv, Matplotlib, etc.- Familiarity with GitLab and CI/CD Pipelines- Proficiency in at least one of the major cloud services: GCP / AWS- Experience using services like Vertex AI, Document AI, Sage Maker, or equivalent offerings in AWS, GCP, or Azure
Job Duties- [70-80%] Develop and deployment of Ml Solutions.- [10-20%] Mentoring other developers- [10-20%] Design and one time POC development work
Secondary Skills- Label Studio- Kube Flow pipelines- ML APIs from Google Cloud / AWS Cloud- Docker, Kubernetes- Kafka- Unix and Shell
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Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 36,000 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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