Senior Artificial Intelligence and Machine Learning Library Developer

Full Stack Engineer

Project Role : Full Stack Engineer
Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.
Must have skills : Machine Learning (ML)
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
We are seeking an experienced Senior AI / ML Library Developer with strong Python expertise and deep awareness of modern AI/ML trends. The ideal candidate will design and build scalable, reusable AI/ML libraries that power intelligent capabilities across image, text, audio, and video processing, as well as AI-driven analytics and reporting. This role also involves mentoring engineers, collaborating with cross-functional teams, and contributing to next-generation GenAI and Agentic AI solutions.

Roles & Responsibilities:
- Design, develop, and maintain reusable AI/ML libraries using Python
- Build AI solutions for:
o Image recognition and processing
o Text extraction and analysis
o Audio and video extraction and understanding
o AI-powered test summary and analytics reports
- Research, evaluate, and implement the latest AI/ML trends, frameworks, and technologies
- Develop and integrate Generative AI and Agentic AI–based workflows
- Optimize AI/ML models and libraries for performance, scalability, and reusability
- Collaborate with product, engineering, and QA teams to integrate AI libraries into applications
- Ensure code quality through reviews, documentation, and best practices
- Mentor junior engineers and provide technical guidance
- Communicate technical concepts, progress, and risks to stakeholders clearly

Professional & Technical Skills:
- Strong proficiency in Python scripting and library development
- Solid understanding of AI/ML fundamentals, including model training, evaluation, and deployment
- Hands-on experience developing AI solutions for image, text, audio, and video data
- Practical experience with Generative AI and Agentic AI concepts and implementations
- Strong problem-solving skills and ability to design scalable AI architectures
- Excellent communication, collaboration, and mentoring skills

Additional Information:
- Experience with OCR technologies such as EasyOCR, Pytesseract, or Google Cloud Vision
- Knowledge of AI-powered reporting, analytics, and dashboard creation
- Experience with popular AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Hugging Face, OpenCV)
- The candidate should have minimum 12 years of experience in Machine Learning (ML).
- A 15 year full time education is required.