ML SCS

Role & responsibilities

In this role, you will:

• 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. 

To be successful in this role, you should meet the following requirements:

• Must have in-depth knowledge and work experience in Document AI / Intelligent document processing using Traditional models and Gen AI 
• Must have 9 to 12 years of experience in the domain.
  
• Must have top notch skills in python, Machine learning, Deep learning, Natural language processing, Gen AI, Image processing, , 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.

The successful candidate will also meet the following requirements:

• 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.