• Deploy, manage, and monitor machine learning models using Vertex AI.
• Fine-tune Large Language Models (LLMs) and build RAG (Retrieval-Augmented Generation) systems.
• Design and implement agentic AI workflows using tools such as LangChain and LlamaIndex.
• Integrate generative AI frameworks, APIs, and cloud-native ML components.
• Ensure model performance, safety, compliance, explainability, and continuous monitoring.
• Collaborate with product, engineering, and data teams to ensure scalable AI solutions.

Required Skills & Qualifications

• 5–10 years of hands-on experience in machine learning; 1–2 years in Generative AI applications.
• Strong proficiency in TensorFlow, PyTorch, and scikit-learn.
• Proven experience with Vertex AI, BigQuery ML, and Feature Store.
• Advanced Python programming skills, including experience with FastAPI, model pipelines, and monitoring tools.
• Solid understanding of ML lifecycle, cloud architecture, and production deployment best practices.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a similar field