Senior MLOps Engineer

Job Summary

A company is looking for a Senior Machine Learning Operations Engineer specializing in Computer Vision.

Key Responsibilities

• Design and implement MLOps pipelines for dataset curation, model training, evaluation, optimization, and deployment
• Manage and optimize cloud-based infrastructure for ML workloads, ensuring efficient resource allocation and cost management
• Develop automation strategies and monitoring solutions to improve model performance and operational metrics

Required Qualifications

• 5+ years of software experience and 3+ years in MLOps engineering, preferably in a high-growth startup
• 1+ years of experience with machine learning model training and evaluation
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience building and maintaining CI/CD pipelines and familiarity with containerization tools (Docker, Kubernetes)
• Ability to thrive in a remote-first, agile work environment