Bangalore, Karnataka, India
Information Technology
Full-Time
Avenir Digital Inc
Overview
Job Title : Generative AI Specialist / Senior AI Engineer
Location : NCR (Gurugram) / Chennai, India
Experience : 58 years total, with minimum 1 year hands-on in Generative AI
About The Role
We are looking for a passionate and experienced AI professional to join our AI/ML team. As a Generative AI Specialist, you will work on cutting-edge projects that involve building, fine-tuning, and deploying LLMs and generative models for real world applications in areas such as customer service, content generation, and intelligent automation.
Key Responsibilities
Location : NCR (Gurugram) / Chennai, India
Experience : 58 years total, with minimum 1 year hands-on in Generative AI
About The Role
We are looking for a passionate and experienced AI professional to join our AI/ML team. As a Generative AI Specialist, you will work on cutting-edge projects that involve building, fine-tuning, and deploying LLMs and generative models for real world applications in areas such as customer service, content generation, and intelligent automation.
Key Responsibilities
- Design and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude).
- Fine-tune and deploy foundation models using frameworks like Hugging Face, LangChain, or custom pipelines.
- Work closely with product, design, and engineering teams to integrate GenAI solutions into products.
- Optimize models for performance, scalability, and latency.
- Develop evaluation frameworks to measure output quality, relevance, and safety.
- Stay updated with the latest in GenAI, foundation models, and responsible AI practices.
- Collaborate in building reusable components, frameworks, and services for GenAI use cases.
- 58 years of total experience in software engineering / AI / data science.
- Minimum 1 year of hands-on experience with Generative AI (e.g., prompt engineering, LLM fine-tuning, RAG, embeddings).
- Strong experience with Python, PyTorch or TensorFlow, and GenAI libraries like Transformers, LangChain, LlamaIndex, or similar.
- Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and MLOps.
- Exposure to NLP tasks like summarization, Q&A, chatbots, and semantic search.
- Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate).
- Experience with Retrieval-Augmented Generation (RAG) pipelines.
- Understanding of Responsible AI, privacy, and model governance.
- Background in finance, healthcare, or enterprise AI products is a plus.
- Contributions to open-source GenAI projects or published research papers.
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