AI ML LEAD

Employment Type - Permanent, Full Time

Position - Technical Lead (AI/ML/GenAI)

Experience - 8+

Location - Hyderabad

Notice Period - Join immediately

Interview Type - Virtual 2 Rounds

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

• Strong 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

• Experience with RAG pipelines and LangChain

• LLM orchestration or agentic frameworks

• Knowledge of data privacy and governance

• Exposure to real-time inference systems and streaming data

• Experience in regulated industries such as healthcare, biopharma

• Proven ability to scale AI teams and lead complex AI projects in high-growth environments

• Exposure to Oil & Gas, refinery operations, and financial services is preferred

• Masters or Bachelors degree in Computer Science, Mathematics, or related field