Senior MLOps Engineer

Job Summary

A company is looking for a Senior MLOps Engineer to lead the deployment, management, and optimization of advanced ML models.

Key Responsibilities

• Define and implement the overall MLOps strategy to support the deployment and scaling of ML models
• Oversee the deployment, scaling, and optimization of large language models (LLMs)
• Architect and build automated ML pipelines, ensuring seamless integration of ML solutions into products and services

Required Qualifications

• Master's or Ph.D. in Computer Science, Engineering, or a related field
• 5+ years of experience in MLOps, ML Engineering, or related roles
• Proven track record of deploying and managing large-scale machine learning models, especially LLMs
• Deep expertise in programming languages such as Python and experience with ML frameworks like TensorFlow or PyTorch
• Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes)