Machine Learning Engineer - Remote

Overview

The Machine Learning Engineer will support the development of an Enterprise MLOps Platform, designed to support and streamline machine learning projects across various business units.

In Short

• Lead the integration and engineering of machine learning models.
• Implement scalable and reliable systems for model inference.
• Deploy and manage machine learning models in production environments.
• Collaborate with ML scientists and software engineers.
• Optimize infrastructure for machine learning workloads.
• Monitor and troubleshoot production issues.
• Implement security best practices for ML systems.
• Participate in developing documentation and guidelines for MLOps.
• Work across the full stack with various programming languages.
• Engage with technical teams and business leaders.

Requirements

• Bachelor’s or master’s degree in a relevant field.
• 4+ years of relevant experience in machine learning.
• Expertise in Python, Spark, and MLOps technologies.
• Experience with Azure services and cloud-based ML solutions.
• Familiarity with data privacy standards and methodologies.
• Strong communication and interpersonal skills.
• Experience with Docker, Kubernetes, and Infrastructure as Code.
• Ability to work in a fast-paced and changing environment.
• Knowledge of AI/ML solutions deployment at scale.
• Experience in the healthcare or pharma domain is a plus.

Benefits

• Competitive compensation package.
• Annual bonus and long-term incentive opportunities.
• Supportive work culture focused on growth and impact.
• Diverse and inclusive work environment.
• Opportunities for professional development.