Machine Learning Engineer - Remote

Pivotal Solutions is seeking a talented and motivated Machine Learning Engineer to join their team on a high-impact project. The role involves building, optimizing, and maintaining scalable machine learning systems while collaborating with cross-functional teams to deliver results under pressure.

Responsibilities:

• Design, develop, and productionize robust machine learning pipelines in a fast-paced environment
• Collaborate closely with data scientists, engineers, and cross-functional teams to translate models into reliable, scalable production systems
• Own end-to-end aspects of the ML lifecycle, including data ingestion, feature engineering, model training, deployment, monitoring, and iteration
• Implement and maintain CI/CD workflows for ML systems to ensure rapid, reliable releases
• Troubleshoot and optimize complex pipeline issues to meet aggressive timelines
• Contribute to a positive, high-performing team culture through clear communication, knowledge sharing, and proactive problem-solving

Requirements:

• Strong Python expertise with hands-on experience building production-grade ML applications
• Proven ability to work effectively in a team setting with tight deadlines and complex technical challenges
• Solid understanding of machine learning operations (MLOps) best practices
• Experience with containerization using Docker
• Proficiency with Git and version control workflows, including GitHub Actions
• Strong problem-solving skills and a collaborative, team-first mindset
• Hands-on experience with Kubeflow for orchestrating ML workflows
• Familiarity with Snowflake for data warehousing and analytics
• Experience with observability and monitoring tools, particularly Datadog
• Background in building and managing CI/CD pipelines for ML or data systems
• Experience using AI-assisted development tools such as Windsurf, Devin, Cursor, or Claude Code to accelerate development