Jobs → Engineering → DevOps/MLOps Engineer

About the Role We are looking for a DevOps/MLOps Engineer with expertise in GenAI technologies to join our team. This role involves managing cloud infrastructure and AI systems for production environments. Key Responsibilities • Design and implement CI/CD pipelines for MLOps workflows • Manage cloud infrastructure using AWS, Azure, and GCP • Deploy and maintain Docker and Kubernetes environments • Implement infrastructure as code using Terraform • Ensure cloud security, monitoring, and cost optimization • Work with AI infrastructure including LLMs, RAG, and model serving Requirements • 9+ years of experience in DevOps or MLOps • Strong knowledge of AWS, Azure, and GCP • Experience with Docker, Kubernetes, and Linux • Proficiency in Terraform and infrastructure as code • Experience with CI/CD tools like Jenkins and GitHub Actions • Skills in Python, Java, or Go • Understanding of MLOps, AI infrastructure, and production AI model deployment Benefits • Contract position with 12-month duration