Back
Tier-1 brand, popular fullstack title, and metro Bangalore location increase applicant density.
Requires combined fullstack and GenAI/MLOps expertise, moderately transferable across industries with some banking compliance specifics.
Multiple mandatory technologies and an explicit eight-plus years requirement enforce stringent screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end delivery of AI-powered products including requirement gathering, design, implementation, testing, deployment, and support.
Design and develop API-first services and front-end interfaces using Python, Node.js, and Angular/React/Vue to operationalize ML model insights.
Implement and manage containerized CI/CD pipelines, secure coding practices, monitoring, and performance tuning; apply GenAI and deep learning techniques to solve business problems.
Minimum 8 years of combined experience in full stack development and Data Science (ML and DL).
5+ years building production web applications and services with Python and Angular; strong TypeScript/JavaScript skills.
Experience with REST/GraphQL APIs, microservices, SQL/NoSQL databases, Docker, CI/CD (Tekton, Harness), Ansible, Linux/Windows OS fundamentals.
Bachelor's or Master's degree in Computer Science Engineering or equivalent.
Experienced in agile environments shipping AI-enabled products with practical knowledge of GenAI, LLMs, prompt engineering, and retrieval-augmented generation (RAG).
Skilled in infrastructure automation, security best practices (authentication, authorization, secret management), and observability with strong debugging skills.
Capable of collaborating across product, data, security, and platform teams to translate ambiguous problems into delivered capabilities with clear technical documentation.