Gen AI Lead
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Job Requirement – GenAI Lead
- Role: GenAI Lead
- Experience: 8–14 Years
- CTC: Open
- Notice Period: Immediate to 15 Days
- Mandatory Skills:
- Generative AI (GenAI)
- Large Language Models (LLMs)
- LangChain
- Python
- Minimum 3+ years of hands-on experience in building Enterprise-level GenAI applications
Title: Lead Gen AI Developer
Location: Chennai, India
Experience: 8–12 years
Notice Period : Immediate
DATA SCIENTIST / GENERATIVE AI:
Generative Models (e.g., GPT, LLaMA, Claude, Stable Diffusion) for text, image, audio, or video generation.
Design and build end-to-end GenAI pipelines, from data collection and preprocessing to model training, evaluation, and deployment.
Integrate LLMs and multimodal AI models into production systems using frameworks like LangChain, LlamaIndex, or OpenAI APIs.
Conduct RAG (Retrieval-Augmented Generation) implementations for enterprise use cases.
Collaborate with cross-functional teams (data science, product, and engineering) to design intelligent AI-driven applications.
Optimize model inference, cost efficiency & response latency.
Strong knowledge of Python and ML frameworks such as PyTorch or TensorFlow.
Experience with LLMs (e.g., OpenAI, Anthropic, Mistral, LLaMA) and open-source libraries (LangChain, Hugging Face Transformers, etc.).
Understanding of prompt engineering, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus).
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps best practices.
Experience with diffusion or image generation models (e.g., Stable Diffusion, Midjourney, DALL·E).
Exposure to multimodal systems combining text, vision, and speech.
Exposure to Azure services like Azure AI foundry, AI search etc.
Knowledge of API development, containerization (Docker, Kubernetes) & CI/CD pipelines.
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