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Metro mid-level AI/MLOps role with moderate brand recognition and niche technical requirements.
Requires AI platform/MLOps and C#/.NET expertise, limiting transferability across industries.
Explicit 5+ years requirement and mandatory AI/MLOps plus C#/.NET skills.
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Design, develop, and deploy AI platform services including model lifecycle management, orchestration, and inference with scalable GenAI and LLM-based solutions.
Own architecture decisions, coding, and troubleshooting for cloud-native, distributed AI systems adhering to MLOps and GenAIOps practices.
Define and execute the AI Platform roadmap, communicate strategy and progress to leadership, and champion responsible AI governance and adoption across teams.
5+ years of software engineering or related technical delivery experience in Agile or product-oriented environments.
Hands-on experience with AI technologies: generative AI, ML services, prompt orchestration, retrieval patterns, agents, embeddings, or model integration.
Proficient in C# .NET; experience with modern programming languages, APIs, cloud services, CI/CD, automated testing, and production support.
Work Experience Required: 5+ years. Notice period: Not explicitly mentioned in the JD.
Experienced in building and scaling AI-enabled, data-driven, automation and integration solutions within enterprise environments.
Capable of balancing innovation and stability while adhering to architectural and enterprise standards in complex AI platform systems.
Strong communicator able to translate business needs into technical solutions, engage stakeholders, and drive adoption of standardized AI capabilities.