TELECOMMUTE Gen AI /Data Scientist

Architect and design end-to-end Generative AI solutions for enterprise use cases Lead development using Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI / multi-agent systems Define architecture for RAG (Retrieval-Augmented Generation) pipelines, AI orchestration and autonomous workflows, and scalable model deployment strategies Drive solution design discussions with stakeholders and leadership teams Provide technical leadership to data scientists, ML engineers, and developers Establish best practices for prompt engineering, model fine-tuning, evaluation and benchmarking Design and implement LLMOps / MLOps frameworks Ensure governance, security, and responsible AI practices (bias, explainability, compliance) Collaborate with business teams to translate requirements into scalable AI architectures

12+ years in Data Science / AI / Machine Learning Strong hands-on experience with Generative AI & LLMs (GPT, LLaMA, etc.), Small Language Models (SLMs), Agentic AI / autonomous AI systems Expertise in Python, PyTorch / TensorFlow, NLP and deep learning, Prompt engineering and RAG architectures Experience with model fine-tuning and embeddings, vector databases (Pinecone, FAISS, etc.), API-driven AI services Strong architecture experience in Cloud platforms (AWS / Azure / Google Cloud Platform), Scalable distributed systems Proven experience in enterprise-level AI solution design"