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Tier-1 brand, metro location, and mid-level role, but specialized GenAI skills reduce broad applicant competition.
Role's specialized GenAI, MLOps, and LLM fine-tuning skills limit cross-industry transferability.
Explicit 5+ years plus mandatory ML/MLOps, AWS, and LLM fine-tuning skills create high filtering.
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Lead development and troubleshooting of AI/ML platform enabling Generative AI use cases, including LLM fine-tuning and multi-agent orchestration.
Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Maintain continuous integration and development with consistent code check-ins every sprint while applying best practices in software engineering, MLOps, and data governance.
5+ years of applied software engineering experience with formal training or certification.
Demonstrated leadership in using AI-assisted software development tools for coding, code review, and test acceleration.
Strong experience with Python and AWS cloud services including EKS, EMR, ECS.
Hands-on experience in AI/ML lifecycle development and advanced knowledge in Generative AI, Agent development, and AI platform engineering.
Experienced in implementing responsible AI engineering workflows considering data sensitivity, security, and compliance.
Able to coach and set team standards for validating AI outputs related to correctness, performance, and security.
Operates well in agile environments focusing on scalable, secure AI/ML solutions integrating cloud and platform engineering.