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Tier-1 brand and Bangalore metro increase applicant density despite niche ML/AI seniority.
Advanced ML/AI and MLOps skills transfer across industries, though enterprise banking context adds moderate bias.
Multiple explicit years, mandatory cloud, IaC, and AI/MLOps skills make filters strict.
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Advise leadership on complex technology solutions across multiple domains including applications, networks, security, databases, operating systems, and web technologies.
Lead strategy and deliver innovative, long-term, large-scale solutions addressing complex challenges enterprise-wide.
Provide vision and expertise on implementing advanced AI and automation solutions, maintaining awareness of industry best practices and new technologies.
7+ years of engineering experience demonstrated via work, training, military experience, or education.
5+ years hands-on programming/scripting in languages such as Java, Python, Shell scripting.
5+ years experience with Infrastructure as Code tools (Terraform, Crossplane, etc.) and container/cloud platforms (OpenShift, GCP, Azure).
2+ years experience in AI, Generative AI, and agentic automation solution design and development.
Experienced in enterprise-scale AI deployments and innovation with deep knowledge of LLMs, prompt engineering, vector databases, and orchestration tools.
Skilled in full stack Agentic AI Automations using frameworks like LangChain, LangGraph, Crew AI, Microsoft AutoGen with strong programming skills (Python, SQL/NoSQL).
Demonstrated ability to lead complex projects independently and provide strategic AI solutions integrating cloud AI platforms (GCP Vertex AI, Azure ML), On-Prem AIML systems, and MLOps frameworks.