Overview We are seeking a Senior Data Scientist Lead 7-10 yrs exp who can architect data-driven solutions lead ML AI initiatives and guide a team working on a mission-critical banking environment The ideal candidate has deep expertise in Elasticsearch analytics AIOps machine learning agentic AI and can drive end-to-end model lifecycle and platform integration This role requires strong engineering depth and the ability to work across cross-functional teams and customer stakeholders Key Responsibilities Technical Leadership Architecture Architect ML pipelines for high-volume logs metrics traces ingested via Elasticsearch Kafka o Define standards for data modelling index strategy retention aggregation and search optimization o Design end-to-end AI ML solutions integrated with AIOps workflows and customer operations Advanced ML AIOps Build advanced models for o Incident prediction noise reductiono Event correlation causal clustering o Predictive capacity planning o Automated RCAo Lead design of reinforcement learning or agentic AI systems to automate incident triage Agentic AI LLM Innovation Build and deploy agentic AI solutions for o Automated RCA assistantso Observability copilots o Log metric narrative generation o Knowledge graph RAG systems for SRE Ops intelligenceo Evaluate appropriate foundation models vector search approaches using Elasticsearch OpenSearch similar tools Stakeholder Management Delivery Collaborate with architects SMEs and client teams to translate requirements into scalable ML solutions o Lead a small team of DS ML DE members conduct code reviews mentor and ensure engineering quality o Manage project delivery roadmaps PoCs and continuous improvement initiatives Required Skills Technical Expertise Deep hands-on experience with Elasticsearch query DSL aggregations anomaly detection modules index management tuning scaling o Strong Kafka experience stream processing consumers producers and integration with ML pipelines o Expert-level Python for ML engineering experience with PyTorch TensorFlow preferred o Advanced experience with AIOps ecosystems Dynatrace Grafana Prometheus Kibana or similar o Strong exposure to LLMs agentic AI embeddings vector search and retrieval pipelines o Hands-on with designing scalable microservices for inference and automation workflows o Experience working with distributed systems and performance optimization Leadership Skills Ability to guide DS ML teams while still being hands-on o Solid communication able to explain complex data concepts to non-technical stakeholders o Demonstrated experience driving end-to-end delivery in enterprise environments Education Experience Bachelor s Master s degree in Computer Science Data Science or related fields o 7-10 years of experience in Data Science ML Engineering o Prior experience in enterprise-scale environments Banking NBFC Telecom preferred Job Type Full-time Pay 3 600 000 00 - 4 800 000 00 per year Work Location In person

📌 Lead Data Scientist (Maharashtra)
🏢 Rapidera Technologies
📍 Maharashtra