Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong Tier-1 brand and metro location but specialized AI/MLOps skills reduce applicant density.
Core MLOps and cloud skills are transferable, but financial services and governance needs increase domain specificity.
Numerous mandatory specialized requirements (Azure, Kubernetes, MLOps, security) imply strict technical screening.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage engineering teams to deliver high-quality AI platform software solutions, ensuring alignment with business objectives.
Oversee engineering processes including requirement discovery, initiative planning, roadmap management, and risk control for the SOLD Simplification initiative.
Drive technical excellence in Cloud Platform Engineering (Azure preferred), AI Platform & MLOps, and secure DevSecOps practices to support scalable AI and software services.
Minimum Requirements
Experience Required: Not explicitly mentioned in the JD (senior leadership/management level implied).
Proficiency in Cloud Platform Engineering with Azure, Kubernetes, Infrastructure as Code (Terraform/Bicep).
Strong skills in Software Engineering & API Development using Python and/or Java.
Location Requirement: Based in Pune office.
Ideal Candidate Profile
Senior-level engineering leader capable of managing multi-year, cross-functional technical initiatives and teams.
Expertise in AI Platform & MLOps including LLM deployment, model lifecycle management, and AI observability.
Experience in secure DevSecOps practices and familiarity with financial services domain (Payments, Treasury, Transaction Banking) preferred.