Remote Machine Learning Operations (MLOps) Engineer

About the Role

Our client is seeking a skilled Remote Machine Learning Operations (MLOps) Engineer to enhance the reliability and efficiency of their AI systems. This fully remote role focuses on building and maintaining robust pipelines for training, deploying, and monitoring machine learning models at scale. You will be instrumental in streamlining the ML lifecycle, ensuring that models move smoothly from development to production and operate effectively. This is an ideal opportunity for an MLOps specialist to leverage their expertise in automation and cloud infrastructure to drive significant improvements in AI deployment across the organization, working from anywhere.

Key Responsibilities

• Design, implement, and manage CI/CD pipelines for machine learning models.
• Automate the deployment, monitoring, and retraining of ML models in production environments.
• Develop and maintain infrastructure for scalable ML training and inference.
• Implement robust logging, monitoring, and alerting systems for ML models.
• Collaborate with data scientists and software engineers to optimize the ML workflow.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in MLOps, DevOps, or related infrastructure roles.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn).
• Strong scripting skills (e.g., Python) and experience with CI/CD tools.

Benefits

• Highly competitive salary and remote work flexibility.
• Comprehensive health, dental, and vision benefits.
• Generous home office setup budget.
• Significant opportunities for professional growth and certifications.
• Be part of a collaborative, innovative, and distributed engineering team.