Job Description & How to Apply Below
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.
Key Responsibilities
AI / ML Model Development
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.
LLMs, RAG & Vector Tools
Lang Chain / Lang Graph
Llama Index
Vector DBs:
Pinecone / Open Search / pgvector / Weaviate
Prompt engineering, structured output (Pydantic)
N8n or other orchestration tools.
Model Deployment & MLOps
Implement CI/CD pipelines for ML models with monitoring, logging, and drift detection.
Deploy and manage models on AWS using services such as:
Sage Maker, EKS, Lambda
Redshift, S3, Glue, Athena
Ensure auditability, reproducibility, and compliance with SEBI and RBI regulations.
Engineering & Automation
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.
Performance, Security & 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.
Required Skills
AI / ML: Supervised & unsupervised learning, NLP/LLMs, generative AI, time-series forecasting.
Programming: Python (Flask, Django, FastAPI), React.js.
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