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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
• Master’s or Bachelor’s degree in Computer Science, Mathematics, or related field