We‘re Hiring | Senior AI/ML Engineer at Kotak Neo /n /n Location- Mumbai / Bangalore /n Years of Exp- (5-15 Years) /n /n 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. /n /n Key Responsibilities /n Generative AI & Agentic Systems /n /n

- Build AI agents with tool/function calling, workflow orchestration, memory management, and autonomous decision-making capabilities.

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- Design and optimize RAG pipelines, embeddings, vector databases, retrieval strategies, and grounded generation with citations.

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- Develop evaluation frameworks, guardrails, prompt engineering practices, and monitoring systems for production AI applications.

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- Implement controls for PII protection, prompt injection resistance, model routing, semantic caching, and cost optimization.

/n /n Applied Machine Learning /n /n

- Develop end-to-end ML solutions for personalization, recommendations, churn prediction, customer intelligence, and segmentation.

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- Build risk, anomaly detection, fraud, and behavioral analytics models on large-scale datasets.

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- Design and execute experiments with robust measurement frameworks and performance evaluation.

/n /n ML Platform & MLOps /n /n

- Build feature stores, training pipelines, model registries,



and reproducible ML workflows.

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- Deploy and manage real-time and batch inference systems with autoscaling, canary releases, shadow testing, and rollback mechanisms.

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- Establish monitoring for model performance, feature health, drift detection, and retraining triggers.

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- Enable governance, auditability, lineage tracking, and compliance with regulatory requirements.

/n /n /n What We‘re Looking For /n /n

- 5+ years of software engineering experience with 3+ years in AI/ML, Data Science, or ML Engineering

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- Solid Python programming and software engineering fundamentals

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- Experience building, deploying, and supporting production AI/ML systems

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- Expertise in cloud platforms, containers, orchestration, CI/CD, SQL, and large-scale data processing

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- Deep expertise in at least one area: Generative AI, Applied ML, or MLOps

/n /n Preferred Skills /n /n

- LangGraph, LlamaIndex, Bedrock, SageMaker

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- Vector databases (pgvector, Qdrant, Milvus, OpenSearch)

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- PyTorch, TensorFlow, MLflow, Databricks, Kubeflow, Ray

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- vLLM, Triton, ONNX Runtime, TensorRT

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- Kafka, Flink, Delta Lake, Feature Stores

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- Explainable AI and model governance in regulated environments

/n /n /n 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. /n /n Apply now or share with your network.

📌 AI & Machine Learning (Mumbai)
🏢 Kotak Neo
📍 Mumbai