What makes you a great fit:

• Experience on NLP, Machine Learning and Deep learning
• Experience working on Python is must
• Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development is must
• Knowledge of LLMs, fine tuning and deployment is must
• Knowledge of NER, Knowledge graphs is good to have
• Experience annotated datasets for Supervised Learning methods and correction is must
• Experience on text to transform natural language into useful features
• Find and implement the right algorithms and tools for NLP tasks
• Perform statistical analysis of results and refine models
• Extend ML libraries and frameworks to apply in NLP tasks

• Utilize python extensively to architect and implement robust ML solutions, leveraging 5+ years of experience in python development. Proficiency in pytorch & tensorflow is highly desired. Cache, CI/CD Pipeline.

• Proficient with Project Management tools like JIRA and Agile methodology.
• Evaluate and integrate other python libraries and frameworks as needed to optimize application functionality and user experience.
• Design and implement various types of middleware and interfaces using advanced techniques witFastAPI, gradio, and other modern technologies.
• Collaborate closely with backend developers to design and implement API endpoints, ensuring efficient data exchange and system integration.
• Utilize training best practices like confusion matrices, train/test/eval splits, data enhancement and periodic updates to enrich model quality & longevity.
• Demonstrate expertise in working with data structures such as XML and JSON, implementing efficient data manipulation and storage solutions.
• Leverage advanced knowledge of quantization frameworks like TensorRT or ONNX to optimize models for low performance platforms. Communicate effectively with stakeholders, including designers, product managers, and senior management, to gather requirements and provide project updates.
• Proactively identify technical challenges and propose innovative solutions to address them, leveraging strong problem-solving skills and industry best practices.
• Proficient with Cloud Technology (Preferably AWS), Docker, Container, Akamai, Cloud Formation, Redis