Machine Learning (ML) Developer

Principal Responsibilities:

1. Develop production-ready models for content extraction and classification from images and text-based sources.
2. Work on projects related to Intelligent Document Processing using open-source models.
3. Collaborate with business and transformation teams to understand and design application-specific solutions.
4. Work closely with product managers and technical teams to build scalable ML solutions.
5. Create, test, and iterate on new and existing products and features.
6. Design and build Python/ML/OCR-based components for document processing.
7. Contribute to development by coordinating requirements, schedules, and troubleshooting across multiple environments.
8. Troubleshoot and resolve development and production issues on various operating platforms.
9. Experience in Agile/DevOps methodologies is preferred.

Must-Have Skills:

1. Programming & ML Expertise: Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), Generative AI, Image Processing, Document AI, OCR Technology.
2. Frameworks: TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, Regex.
3. APIs: FastAPI, Tornado.
4. Databases: PostgreSQL, MongoDB.
5. Operating Systems: RHEL, Ubuntu.
6. DevOps & Automation: Jenkins Pipeline, Docker, Kubernetes, Ansible Automation, Git/GitHub, Shell/Python scripting, Linux fundamentals.

Nice-to-Have Skills:

1. Understanding of cloud computing fundamentals.
2. Hands-on experience with Azure services, including:
• Azure Virtual Machines
• Azure Kubernetes Service (AKS)
• Azure DevOps
• Azure CLI & Portal

1. Basic knowledge of networking and security best practices.