Remote ML Operations Engineer (MLOps)

Description:

• Develop and maintain end-to-end ML pipelines for model training, evaluation, deployment, and monitoring.
• Deploy machine learning models into production environments, ensuring scalability, reliability, and performance.
• Implement monitoring and alerting systems to track model performance, data drift, and model drift.
• Manage cloud-based infrastructure and resources for machine learning workloads.
• Implement version control and model versioning systems to ensure reproducibility and traceability.
• Collaborate with cross-functional teams to define requirements, prioritize tasks, and deliver solutions.
• Implement security best practices and ensure compliance with data privacy regulations in ML systems.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• Strong background in machine learning operations (MLOps) or DevOps.
• Proficiency in programming languages such as Python, Java, or Go, and experience with ML frameworks and libraries.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud, and relevant tools for ML infrastructure management.
• Familiarity with CI/CD pipelines, version control systems (e.g., Git), and infrastructure as code (IaC) tools.
• Strong problem-solving abilities and analytical thinking.
• Excellent communication and collaboration skills.

Benefits:

• Competitive salary ranging from $150,000 to $230,000 per year.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities.
• State-of-the-art technology environment with access to cutting-edge ML tools.
• Vibrant and inclusive company culture with team-building activities.
• Opportunities for career growth and advancement.
• Exciting projects with real-world impact.
• Chance to work alongside top talent and industry experts.