AI/ML Tech lead with Gen AI

Job Description:

Designing and deploying scalable, secure, and reliable LLM-based solution, implement Retrieval-Augmented Generation (RAG), model fine-tuning, and agentic workflows to solve complex business problems.
Key Responsibilities

• Design, build, and maintain production-grade Generative AI applications and APIs on GCP, focusing on Gemini models, RAG architectures, and vector databases.
• Develop automated MLOps pipelines (training, evaluation, monitoring, deployment) using Vertex AI, Kubeflow, Cloud Build, and Terraform.
• Implement techniques to enhance AI model performance, including fine-tuning, quantization (e.g., GPTQ, AWQ), and prompt engineering to improve accuracy and reduce latency.
• Optimize GCP resources for high-performance computing, ensuring scalability, cost-efficiency, and security (IAM, VPC).
• Partner with Data Science, Data Engineering, and Product teams to translate business requirements into technical AI/ML roadmaps.
• Ensure compliance with data privacy, security regulations (HIPAA, GDPR, if applicable), and ethical AI standards.

• 5-8+ years of industry experience in Machine Learning, with at least 3+ years of hands-on experience in building and deploying Generative AI models and LLMs in a production environment.
• Proven experience with Google Cloud Platform (GCP)and its AI suite (Vertex AI, BigQuery, Dataflow, Cloud Run).
• Strong expertise in Python and standard data science libraries (scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with framework tooling such as LangChain , LlamaIndex, or Hugging Face.
• Strong understanding of SQL and unstructured data management.
• Familiarity with Docker, Kubernetes (GKE), and CI/CD tools.

• Experience with multi-agent systems and orchestration (e.g., LangGraph, AutoGen).
• Deep knowledge of Vector Databases (e.g., Vertex AI Vector Search, Pinecone, Chroma).
• Google Cloud Professional Machine Learning Engineer certification.
• Demonstrated experience leading team projects and mentoring junior engineers.