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Zurich Kotak General Insurance
Kotak Mahindra Bank - Full Stack AI & Automation Engineer
Zurich Kotak General Insurance
Mumbai•On-site•6-9 Yrs•1 hour ago
Job description
Overview
Job Title : Full Stack AI & Automation Engineer
Responsibilities
- Design, build, train, and deploy AI/ML models for :
- Risk scoring
- Portfolio optimization
- Fraud detection
- Regulatory and compliance reporting
- Fund allocation and NAV calculations.
- Data warehouse
- Apply NLP and LLM techniques to analyse financial documents, contracts, and market reports.
- Experiment with Generative AI, Reinforcement Learning, and Explainable AI (XAI) to enhance decision-making.
- LangChain / LangGraph
- LlamaIndex
- Vector DBs : Pinecone / OpenSearch / pgvector / Weaviate
- Prompt engineering, structured output (Pydantic)
- N8n or other orchestration tools.
- Implement CI/CD pipelines for ML models with monitoring, logging, and drift detection.
- Deploy and manage models on AWS using services such as :
- SageMaker, EKS, Lambda
- Redshift, S3, Glue, Athena
- Ensure auditability, reproducibility, and compliance with SEBI and RBI regulations.
- Develop scalable backend services using Python (Flask / FastAPI / Django).
- Build secure APIs using OAuth 2.0 and JWT for model access and system integration.
- Automate workflows such as login processes, document processing, and data uploads/downloads using Playwright.
- Develop React.js dashboards to deliver interactive AI-driven insights related to risk, portfolio performance, and compliance.
- Optimize AI/ML pipelines for low latency and high throughput.
- Implement secure coding practices, including token storage, CSRF protection, and data governance.
- Collaborate closely with risk, compliance, and audit teams to ensure regulatory alignment of AI systems.
Qualifications
- About the Role :
- Kotak Alternate Asset Management Limited (KAAML) is seeking a Full Stack AI Automation Engineer with strong expertise in AI/ML, financial services, and quantitative systems. The role involves designing, building, and optimizing AI-driven solutions that power next-generation financial products, AIF platforms, and risk management systems.
- The ideal candidate combines deep knowledge of AI tools, AI frameworks, machine learning, NLP/LLMs, and generative AI with hands-on experience in Python, React.js, and AWS cloud, along with strong domain understanding of banking, asset management, Alternate investment fund, trading, or fintech.
- AI / ML : Supervised & unsupervised learning, NLP/LLMs, generative AI, time-series forecasting.
- Programming : Python (Flask, Django, FastAPI), React.js.
- Cloud & Data : AWS ML & Data stack - SageMaker, Lambda, Redshift, Glue, Athena, S3, CloudWatch.
- MLOps : CI/CD pipelines, Docker, Kubernetes, model monitoring and versioning.
- Security : OAuth 2.0, JWT, secure APIs, data protection and compliance standards.
- Bonus Skills : Playwright automation, MCP servers, Tableau or BI dashboards.
- Strong problem-solving, debugging, and documentation abilities.
Nice to have
- Bachelor's or master's degree in computer science, AI/ML, Data Science, or Financial Engineering.
- 6- 8 years of experience in Full Stack AI/ML Engineering.
- AWS certifications such as AWS Machine Learning - Specialty or other relevant AWS certifications or AI certifications.