Technical Lead-AI ML (Karnataka)

Job Description Technical Lead (AI/ML & Generative AI) Position: Technical Lead AI/ML & Generative AI Location: Trivandrum, Kerala Job Summary We are seeking a highly skilled and experienced Technical Lead AI/ML & Generative AI to lead the design, development, deployment, and scaling of enterprise-grade AI solutions. The ideal candidate will have robust expertise in Machine Learning, Deep Learning, Generative AI, Agentic AI, MLOps, Data Engineering, and Cloud-Native AI Platforms. The candidate will be responsible for leading AI initiatives, mentoring engineering teams, driving AI innovation, and delivering scalable AI products across business domains such as Financial Services, Lending, Customer Experience, Risk Analytics, Document Intelligence, and Intelligent Automation. Key Responsibilities AI Solution Architecture & Design - Design scalable AI/ML architecture for enterprise applications. - Lead AI platform strategy and technology roadmap. - Define end-to-end AI solution architecture including: - Data Ingestion - Feature Engineering - Model Training - Model Deployment - Model Monitoring - Design AI-driven products using cloud-native architecture principles. - Create reusable AI frameworks and accelerators. Generative AI & Agentic AI Lead implementation of: - Large Language Models (LLMs) - Retrieval-Augmented Generation (RAG) - Multi-Agent Systems - Agentic AI Platforms - Prompt Engineering Frameworks - AI Workflow Automation Machine Learning & Deep Learning Design and develop: - Classification Models - Regression Models - Recommendation Engines - Forecasting Models - Anomaly Detection Systems - Computer Vision Solutions - NLP Applications Hands-on expertise in: - Scikit-Learn - TensorFlow - PyTorch - XGBoost - LightGBM - Hugging Face RAG & Knowledge Systems Architect enterprise-grade RAG solutions: - Vector Databases - Semantic Search - Hybrid Search - Knowledge Graphs - Embedding Pipelines Experience with: - LangChain - LangGraph - LlamaIndex - Haystack Vector Databases: - Pinecone - ChromaDB - Weaviate - Milvus - FAISS MLOps & AI Platform Engineering Lead AI platform deployment and governance: - Model Lifecycle Management - Model Registry - Model Monitoring - Drift Detection - Feature Stores Tools: - MLflow - Kubeflow - Airflow - SageMaker - Vertex AI - Databricks Implement: - CI/CD for AI Models - Automated Training Pipelines - Continuous Model Deployment Cloud & Infrastructure Architect AI workloads on: - AWS - Azure - OCI - GCP Services: - AWS Bedrock - SageMaker - EC2 - EKS - Lambda - S3 Containerization: - Docker - Kubernetes Deployment Models: - On-Premise - Hybrid Cloud - Multi-Cloud AI Governance, Security & Compliance Establish AI governance framework: - Responsible AI - Explainable AI (XAI) - Model Auditing - AI Risk Management Leadership & Team Management - Lead AI/ML engineering team. - Mentor Data Scientists and AI Engineers. - Conduct architecture reviews and code reviews. - Drive best practices in AI engineering. - Collaborate with Product Owners and Business Teams. - Own end-to-end AI solution delivery. Academic Qualification - B.E. / B.Tech / MCA / M.Tech in Computer Science, AI, Data Science, Information Technology or related field. - AI/ML certifications preferred. Experience - 815 years overall experience. - Minimum 35 years leading AI/ML teams. - Experience delivering production-grade AI solutions. - Experience in Banking, NBFC, FinTech, Insurance or Financial Services preferred. .