- Develop and implement open-source and proprietary Large Language Models (LLMs).

- Design, train, and deploy machine learning and deep learning algorithms.

- Integrate AI capabilities using Langchain, Pinecone, ChromaDB, and other AI frameworks.

- Apply data preprocessing techniques (feature engineering, normalization, dimensionality reduction).

- Optimize models through experimentation, tuning, and continuous improvement.

- Stay current with advancements in AI research, publications, and tools.

- Collaborate with backend developers to implement RESTful APIs.

- Create and maintain high-quality technical documentation.

- Debug and upgrade existing systems, incorporating user feedback.

- Write and manage performant, scalable APIs and services.

Key expectations :

- Proficient in Python and frameworks such as Django REST Framework.

- Strong command of AI libraries : NumPy, NLTK, SpaCy, Torch, Sentence-Transformers, TensorFlow, PyTorch, scikit-learn.

- Experience with prompt engineering and AI-powered NLP tools.

- Familiarity with Generative AI (GenAI) approaches.

- Proficient in MySQL, vector databases (e.g., Pinecone, ChromaDB), and API/plugin integrations.

- Solid foundation in object-oriented programming, scalable application development, and use of Bitbucket or similar version control tools.

- Basic knowledge of front-end technologies: HTML5, CSS3/4, JavaScript, Ajax, XML.

- Experience with Agile methodologies and Test-Driven Development (TDD) environments.

- Exposure to NLP, Computer Vision, or other specialized AI domains is an advantage