Senior MLOps / LLMOps Engineer - Remote

Overview

As a Senior MLOps/LLMOps Engineer, you will be at the forefront of deploying, optimizing, and monitoring LLMs in production environments. Your role will involve building and maintaining scalable pipelines, ensuring low-latency inference, and implementing best practices in monitoring and observability.

In Short

• Develop and maintain scalable pipelines for deploying LLMs.
• Utilize tools like Hugging Face and MLFlow for model integration.
• Implement monitoring frameworks for model performance.
• Optimize cloud and on-premise infrastructure.
• Collaborate with AI engineers and data scientists.

Requirements

• 5+ years of experience in MLOps or related fields.
• Experience with Hugging Face, MLFlow, Docker, and Kubernetes.
• Strong experience with AWS, Azure, GCP, and Terraform.
• Proficiency in Python and ML libraries.
• Excellent problem-solving and communication skills.

Benefits

• Competitive salary with performance reviews every 6 months.
• 10 days paid holidays and flexible working arrangements.
• Visa support for the right candidates.
• Housing and club activity allowances.
• Bi-monthly free flow beer parties.