Machine Learning Engineer
1 month ago
Principle responsibilities :
- Developers to build prod-ready models that will help with content extraction and classification from images and text-based sources.
- Work with business and transformation teams to understand & formulate application specific design.
- Collaborative with product managers, and 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; and 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
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