Overall 5+ years of experience in IT Industry

Positive Exposure in Python, Gen AI.

Key Responsibilities
Develop, train, fine-tune, and deploy generative AI models (LLMs, diffusion, transformers, etc.) for various use cases (text, image, or multimodal).
Design and maintain scalable ML pipelines using Python, PyTorch, TensorFlow, or JAX.
Integrate LLM APIs (OpenAI, Anthropic, Hugging Face, etc.) and build domain-specific wrappers or agents.
Optimize model inference, prompt engineering, and response quality for production use.
Collaborate with data engineers and product teams to define data requirements, evaluate models, and deliver end-to-end AI features.
Implement best practices in model evaluation, versioning, monitoring, and responsible AI usage.
Stay current with advancements in generative AI, reinforcement learning, and multimodal architectures.

Required Skills




Robust command of Python (async programming, packaging, APIs, data structures).
Solid experience with one or more deep learning frameworks: PyTorch, TensorFlow, JAX.
Experience working with LLMs (e.g., GPT, Claude, LLaMA, Mistral) and/or diffusion models (e.g., Reliable Diffusion, Midjourney API, etc.).
Understanding of transformer architectures, tokenization, and embedding techniques.
Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Chroma) and retrieval-augmented generation (RAG).
Proficiency in API design, data pipelines, and cloud ML deployment (AWS, GCP, or Azure).
Familiarity with prompt engineering, few-shot learning, and model evaluation techniques.

📌 Python Gen Ai Professional Chennai
🏢 Tekskills
📍 Chennai