AI ML Tech Lead (Hyderabad)

Tips: Provide a summary of the role, what success in the position looks like, and how this role fits into the organization overall. Key Responsibilities Lead the design, development, and deployment of advanced machine learning models and algorithms for various applications Build and optimize chatbots and autonomous agents using LLM endpoints and frameworks like LangChain, Semantic Kernel, or similar Implement vector search using technologies such as FAISS, Weaviate, Pinecone, or Milvus for semantic retrieval and RAG (Retrieval-Augmented Generation) Collaborate with data engineers and product teams to integrate ML models into production systems Monitor and maintain deployed models, ensuring performance, scalability, and reliability Conduct experiments, A/B testing, and model evaluations to improve system accuracy and efficiency Stay updated with the latest advancements in AI/ML, especially in agentic systems and generative AI Ensure robust security, compliance, and governance including role-based access control, audit logging, and data privacy controls Collaborate with data scientists, ML engineers, and product teams to deliver scalable, production-grade GenAI solutions Participate in code reviews, architecture discussions, and continuous improvement of the GenAI platform Requirements 8+ years of experience in Machine Learning, Deep Learning, and AI system design Solid hands-on experience with Agentic AI frameworks and LLM APIs (e.g., OpenAI) Certifications in AI/ML or cloud-based AI platforms (AWS, GCP, Azure) Proficiency in Python and ML libraries like scikit-learn, XGBoost, etc. Experience with AWS services such as SageMaker, Lambda, S3, EC2, and IAM Expertise in Databricks for collaborative data science and ML workflows Solid understanding of vector databases and semantic search Hands-on experience with MLOps including containerization (Docker, Kubernetes), CI/CD, and model monitoring along with tools like MLflow Experie .