MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- Senior Machine Learning Engineer developing real-time personalization ML solutions for DraftKings. Leading initiatives to improve player engagement and retention through innovative machine learning strategies.
Responsibilities
- Lead end-to-end machine learning initiatives focused on improving player engagement and retention, from initial concept through production deployment.
- Build scalable, reusable machine learning pipelines with a focus on reliability, maintainability, and performance.
- Design and manage CI/CD workflows for machine learning using tools like MLflow, Jenkins, and GitOps to enable automated and efficient model deployment.
- Monitor model performance in production, implementing retraining strategies, drift detection, and continuous optimization.
- Partner with cross-functional teams to translate business goals and user insights into high-impact machine learning solutions.
- Mentor other engineers and help define best practices for machine learning system design, development, and deployment.
Requirements
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related technical field
- At least 3 years of experience working with machine learning systems in production environments
- Strong proficiency in Python and SQL, with experience working on distributed data platforms such as Spark
- Proven experience delivering production-grade machine learning models that drive measurable business impact
- Hands-on experience with Databricks for managing machine learning workflows, model lifecycle, and collaborative development
- Experience designing experiments and analyzing A/B tests to validate and optimize model performance
- Strong communication and collaboration skills, with experience mentoring or leading technical initiatives.
Benefits
- Health insurance
- Flexible working hours
- Professional development opportunities
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