Principal responsibilities
Developers to build prod-ready models that will help with content extraction and classification from images and text based sources.
Should have worked on projects related to Intelligent document processing using open source models.
Work with business and transformation teams to understand & formulate application specific design.
Collaborative with product managers, technical teams.
Create, test and iterate new and existing products and features.
Design and Build Python/ML/OCR-based components.
Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting development and production problems across multiple environments and operating platforms.
Should be able to troubleshoot development and production problems across multiple environments and operating platforms.
Experience is preferred in Agile/DevOps areas.
Must have:
Strong in python , Machine learning , Deep learning , Natural language processing , Gen AI , Image processing , Document AI , OCR technology ,
Frame Works : TensorFlow , Pytorch , Hugging face , Spacy , OpenCV , Regex
API : Fast API , Tornado
Database : Postgres , Mongo
OS RHEL , Ubuntu
Jenkins Pipeline, Docker, Kubernetes, Ansible Automation platform, Git, GitHub, shell/python scripts and Linux Fundamentals.
Nice to Have:
Understanding of cloud computing fundamentals,
proficiency with Azure's core services like Azure Virtual Machines, through hands-on experience with the Azure portal and Azure CLI , Azure Kubernetes Service (AKS), Azure DevOps
basic knowledge of networking and security best practices.
Machine Learning (ML) Developer JD:
Principal responsibilities
Developers to build prod-ready models that will help with content extraction and classification from images and text based sources.
Should have worked on projects related to Intelligent document processing using open source models.
Work with business and transformation teams to understand & formulate application specific design.
Collaborative with product managers, technical teams.
Create, test and iterate new and existing products and features.
Design and Build Python/ML/OCR-based components.
Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings; troubleshooting development and production problems across multiple environments and operating platforms.
Should be able to troubleshoot development and production problems across multiple environments and operating platforms.
Experience is preferred in Agile/DevOps areas.
Must have:
Strong in python , Machine learning , Deep learning , Natural language processing , Gen AI , Image processing , Document AI , OCR technology ,
Frame Works : TensorFlow , Pytorch , Hugging face , Spacy , OpenCV , Regex
API : Fast API , Tornado
Database : Postgres , Mongo
OS RHEL , Ubuntu
Jenkins Pipeline, Docker, Kubernetes, Ansible Automation platform, Git, GitHub, shell/python scripts and Linux Fundamentals.
Nice to Have:
Understanding of cloud computing fundamentals,
proficiency with Azure's core services like Azure Virtual Machines, through hands-on experience with the Azure portal and Azure CLI , Azure Kubernetes Service (AKS), Azure DevOps
basic knowledge of networking and security best practices.
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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