Ai & machine learning

We're Hiring | Senior AI/ML Engineer at Kotak Neo

Location- Mumbai / Bangalore
Years of Exp- (5-15 Years)

We're rebuilding our technology landscape from the ground up and creating a next-generation AI platform for a highly regulated financial environment. We are looking for experienced professionals who are passionate about building production-grade AI systems that are scalable, reliable, explainable, and compliant.

Key Responsibilities
Generative AI & Agentic Systems
Build AI agents with tool/function calling, workflow orchestration, memory management, and autonomous decision-making capabilities.
Design and optimize RAG pipelines, embeddings, vector databases, retrieval strategies, and grounded generation with citations.
Develop evaluation frameworks, guardrails, prompt engineering practices, and monitoring systems for production AI applications.
Implement controls for PII protection, prompt injection resistance, model routing, semantic caching, and cost optimization.
Applied Machine Learning
Develop end-to-end ML solutions for personalization, recommendations, churn prediction, customer intelligence, and segmentation.
Build risk, anomaly detection, fraud, and behavioral analytics models on large-scale datasets.
Design and execute experiments with robust measurement frameworks and performance evaluation.
ML Platform & MLOps
Build feature stores, training pipelines, model registries, and reproducible ML workflows.
Deploy and manage real-time and batch inference systems with autoscaling, canary releases, shadow testing, and rollback mechanisms.
Establish monitoring for model performance, feature health, drift detection, and retraining triggers.
Enable governance, auditability, lineage tracking, and compliance with regulatory requirements.

What We're Looking For
5+ years of software engineering experience with 3+ years in AI/ML, Data Science, or ML Engineering
Strong Python programming and software engineering fundamentals
Experience building, deploying, and supporting production AI/ML systems
Expertise in cloud platforms, containers, orchestration, CI/CD, SQL, and large-scale data processing
Deep expertise in at least one area: Generative AI, Applied ML, or MLOps
Preferred Skills
Lang Graph, Llama Index, Bedrock, Sage Maker
Vector databases (pgvector, Qdrant, Milvus, Open Search)
Py Torch, Tensor Flow, MLflow, Databricks, Kubeflow, Ray
v LLM, Triton, ONNX Runtime, Tensor RT
Kafka, Flink, Delta Lake, Feature Stores
Explainable AI and model governance in regulated environments

If you're excited about building AI solutions that power the future of investing while meeting the highest standards of reliability, governance, and scale, we'd love to hear from you.

Apply now or share with your network.