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Tier-1 brand, mid-level ML platform role in metro with broad skills and visibility increases competition.
Requires specialized GenAI, LLM, MLOps and deployment experience, limiting cross-industry transferability.
Explicit 5-7 years plus mandatory ML leadership, MLOps and cloud tech stacks raises filtering strictness.
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Lead design, deployment, and scaling of enterprise-grade Generative AI platforms, orchestrator frameworks, and AI infrastructure.
Architect and implement secure, highly available AI services supporting large-scale workloads across cloud-native environments.
Provide technical leadership, mentor teams, and drive AI strategy including governance, compliance, and operational MLOps practices.
Bachelor's degree or higher in Computer Science, AI, ML, Software Engineering, Data Science, Electrical Engineering, or related technical field.
5+ years of software engineering experience with 3+ years focused on AI/ML engineering and 3+ years leading technical teams or major programs.
Proficiency in Python and C/C++ programming languages; hands-on with major AI/ML frameworks such as PyTorch and TensorFlow.
Experience deploying AI solutions on cloud platforms (Azure, AWS, or GCP) with strong MLOps and container orchestration skills (Kubernetes, Docker).
Experienced in building and operationalizing Generative AI and LLM-based applications at enterprise scale, including prompt engineering and multi-agent orchestration.
Strong leadership in driving AI platform architecture and managing cross-functional collaborations with product, security, and data engineering teams.
Proven ability to establish AI governance, security controls, and production-grade MLOps pipelines ensuring reliability and compliance.