Remote Senior ML Operations Engineer (MLOps)

Description:

• Design and implement scalable infrastructure for deploying and serving machine learning models using cloud platforms and containerization technologies.
• Develop automated pipelines for deploying models into production environments with consistency and reproducibility.
• Implement monitoring and alerting systems to track model performance, data drift, and other metrics for proactive issue detection.
• Establish version control and management processes for easy tracking, rollback, and experimentation of machine learning models.
• Implement CI/CD pipelines for automating model training, testing, and deployment to reduce time to market and improve agility.
• Optimize machine learning infrastructure performance and scalability using distributed computing, parallelization, and resource management techniques.
• Ensure machine learning systems comply with security and privacy standards by implementing access controls and encryption.
• Document MLOps processes, best practices, and standards to provide guidance and training to data scientists and engineers.
• Collaborate with cross-functional teams to streamline the machine learning lifecycle and drive continuous improvement.
• Stay informed about the latest advancements in MLOps tools and technologies to enhance machine learning operations.

Requirements:

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
• 5+ years of experience in software engineering, DevOps, or related roles focusing on machine learning operations infrastructure.
• Strong understanding of machine learning concepts and techniques, working with data science teams and models.
• Proficiency in Python, Java, or Scala, and experience with cloud platforms like AWS, Azure, or Google Cloud.
• Experience with Docker, Kubernetes, TensorFlow, PyTorch, scikit-learn, MLflow, CI/CD pipelines, version control, and automation tools.
• Strong problem-solving skills, analytical thinking, and troubleshooting complex issues.
• Excellent communication and collaboration skills to work effectively in cross-functional teams.

Benefits:

• Competitive salary ranging from $170,000 to $250,000 per year based on experience and qualifications.
• Comprehensive health, dental, and vision insurance plans.
• Flexible work hours and remote work options.
• Generous vacation and paid time off.
• Professional development opportunities with access to training programs, conferences, and workshops.
• State-of-the-art technology environment with cutting-edge tools and resources.
• Vibrant and inclusive company culture with growth and advancement opportunities.
• Exciting projects with real-world impact in the forefront of MLOps innovation.