Lead Data Scientist / AI Solution Architect

You are invited to join Optimum Data Analytics (ODA), where we specialize in providing advanced data and AI solutions customized to address real-world challenges. As a Lead Data Scientist / AI Solution Architect, you will play a crucial role in designing and deploying AI/ML solutions using cutting-edge technologies such as Azure Cloud, LLMOps, Containerized environments, and Generative AI tools. This position is based in Pune, allowing you to collaborate closely with cross-functional teams on impactful projects. Key Responsibilities: - Architect and implement end-to-end AI/ML solutions utilizing Azure AI/ML services - Lead the design and development of LLMOps pipelines for deploying and managing large language models (LLMs) - Work on containerized deployments using Docker and orchestration tools like Kubernetes - Integrate and fine-tune Generative AI models for various real-world applications (text, vision, conversation, etc.) - Collaborate with data engineers, product teams, and business stakeholders to deliver scalable AI systems - Drive model monitoring, versioning, and responsible AI practices - Document technical architecture, decision-making, and knowledge transfer Required Skills & Qualifications: - 6 to 8 years of experience in Data Science / AI / ML solution development - Strong hands-on experience with Azure AI services (ML Studio, Azure OpenAI, etc.) - Experience working with LLMs, prompt engineering, and fine-tuning techniques - Proven experience with containerized environments (Docker, Kubernetes) - Strong programming skills in Python with relevant ML/AI libraries (TensorFlow, PyTorch, Transformers, etc.) - Solid understanding of LLMOps/MLOps lifecycle and best practices - Familiarity with CI/CD pipelines, Git, and DevOps for ML - Excellent communication, stakeholder management, and team collaboration skills Good To Have: - Experience with Azure Cognitive Search, Azure Data Lake, or Databricks - Exposure to LangChain, Hugging Face, or OpenAI APIs - Prior experience working in a startup or fast-paced product environment Note: The mentioned skills include python, pytorch, azure ai services, kubernetes, azure, ml, ml studio, prompt engineering, azure openai, tensorflow, docker, ci/cd pipelines, generative ai, llm, transformers, mlops, git, ai, containerized environments, fine-tuning techniques, llms, devops, llmops.,