AI Developer
2 days ago
Key Responsibility
- 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
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