Back
Mid-level role with moderate-brand employer and niche GenAI/MLOps skill requirements.
Specialized MLOps and GenAI platform expertise reduces cross-industry transferability.
Requires 5+ years and specific GenAI/MLOps and C# .NET skills, creating moderately strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, deploy, and support AI platform services including model lifecycle management, orchestration, and inference integrating GenAI and LLM-based solutions.
Lead architecture decisions and implement MLOps and GenAIOps practices (CI/CD, monitoring, governance) for cloud-native, distributed AI systems.
Define and execute the AI platform roadmap, communicate strategy and progress to leadership, and drive adoption of reusable AI capabilities enterprise-wide.
5+ years of experience in software engineering or related technical delivery roles.
Hands-on experience with AI technologies such as generative AI, ML services, prompt orchestration, agents, embeddings, or model integration.
Proficient in C# .NET and experienced with cloud services, CI/CD practices, automated testing, and production support.
Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Experienced operating in Agile/product-oriented environments delivering AI-enabled and data-driven automation or integration solutions.
Technical communicator who can clarify requirements, translate business needs into pragmatic solutions, and engage with diverse stakeholders.
Focused on building scalable, secure, and maintainable AI platform capabilities aligned with enterprise governance and compliance standards.