We are seeking an experienced Data Scientist specialized in Generative AI (GenAI) with Python expertise to develop and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with LLMs, NLP, Python-based AI frameworks, and production-grade pipelines, and will collaborate with cross-functional teams to drive AI initiatives.
Design, develop, and deploy Generative AI models (text, image, or multimodal) using Python.
Build, maintain, and optimize LLM pipelines, embeddings, and RAG workflows.
Perform data preprocessing, feature engineering, and model evaluation.
Collaborate with engineering, product, and analytics teams to integrate AI models into applications.
Fine-tune, benchmark, and optimize LLMs and other generative models for performance and accuracy.
Implement scalable, reliable, and secure AI solutions in cloud environments.
Ensure data quality, privacy, and compliance across AI workflows.
Stay updated with latest trends in Generative AI, NLP, and Python-based AI frameworks.
5+ years of experience as a Data Scientist / ML Engineer / AI Engineer.
Strong expertise in Generative AI and Python for AI/ML development.
Hands-on experience with LLMs (OpenAI, Anthropic, Cohere, Llama, etc.).
Proficiency in Python AI frameworks: PyTorch, TensorFlow, JAX, Hugging Face.
Experience with LangChain, LlamaIndex, RAG pipelines, and prompt engineering.
Knowledge of vector databases (Pinecone, Weaviate, Milvus, FAISS).
Experience with cloud platforms (AWS, Azure, GCP) for AI deployment.
Strong skills in data preprocessing, feature engineering, and model evaluation.
Familiarity with MLOps, Docker, Kubernetes, APIs, and microservices.
Experience with multimodal AI (text+image/audio/video).
Knowledge of Reinforcement Learning (RLHF/RLAIF).
Experience with production-level AI pipelines and monitoring.
Contributions to AI research or open-source projects.
Familiarity with Agile/Scrum methodology.