Python Gen AI Professional

Overall 5+ years of experience in IT Industry

Good 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

• Strong 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., Stable 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.