MLOps Engineer

In this role you will design, deploy, and maintain production-grade ML solutions with a strong emphasis on MLOps, CI/CD, model serving, monitoring, and scalable cloud infrastructure. You will advance capabilities toward LLMOps and agentic AI workflows, supporting LLM applications, RAG pipelines, and enterprise observability. Collaborating with engineering and data science, you’ll also advise clients on best practices in AI infrastructure and scalability to drive impactful AI outcomes in enterprise environments.

• Build, deploy and maintain production-ready ML solutions with MLOps practices (CI/CD, model serving, monitoring)
• Develop and maintain robust cloud infrastructure for AI workloads
• Extend capabilities toward LLMOps and agentic AI workflows (LLM applications, RAG pipelines, model evaluation, observability)
• Collaborate with engineering and data science teams and engage with clients on AI infrastructure and scalability best practices
• Contribute to enterprise AI solutions at the intersection of modern AI and enterprise systems

• strong collaboration and teamwork
• clear communication and advisory capabilities
• problem solving in complex AI environments
• MLOps practices (CI/CD, model serving, monitoring)
• cloud infrastructure for AI workloads
• LLMOps and agentic AI workflows