Data Scientist with Generative AI

As a Data Scientist Engineer, you will be utilizing your passion for Data Science to create beautiful images and compelling content, collaborating with other technical staff to deliver and maintain fully-functional software implementations. Your role will involve the following key responsibilities: - Design, develop, and deploy enterprise-grade AI solutions with a strong focus on Large Language Models (LLMs). - Possess 4+ years of overall experience in AI/ML, with at least 3 years dedicated to Generative AI. - Demonstrate hands-on expertise in open-source LLMs such as Mistral, Qwen, and LLaMA. - Proven experience in fine-tuning techniques including LoRA, PEFT, and adapters for LLMs. - Skilled in building RAG-based chatbots and advanced prompt engineering for commercial LLMs (e.g., Gemini, OpenAI). - Strong proficiency in Python programming and API development for AI-driven applications. - Experience applying LLMs for structured data extraction and automation workflows in real-world scenarios. - Familiarity with cloud-based ML environments (AWS, GCP, Azure) for model training, deployment, and scaling. - Exposure to vector databases such as FAISS, Pinecone, Weaviate, and Milvus for efficient similarity search and retrieval. - Knowledge of MLOps practices for monitoring, versioning, and maintaining LLM-based applications in production. - Preferred experience in the US Benefits domain, with understanding of related business workflows and compliance requirements. - Ability to collaborate effectively with cross-functional teams to translate business needs into scalable, production-ready AI solutions. Please share your CV along with the below-mentioned details to "praveen.lingam@valuelabs.com". In addition to the job description, no additional details about the company were included in the provided job description.,