What are the responsibilities and job description for the Manager Machine Learning Engineer position at Perform RX?
Role Overview
The Manager, Machine Learning (ML) Engineering will play a crucial role in overseeing the end-to-end machine learning lifecycle, from data preparation to model deployment and operationalization. The manager will apply expertise in leveraging Databricks, Azure DevOps, and other cloud services will be instrumental in driving the success of our machine learning projects. The manager will lead a team of engineers collaborating with cross-functional stakeholders to ensure seamless integration, scalability, and efficiency in our machine learning workflows.
Work Arrangement
- This is a 100% remote position but you must live in the EST or CST time zones
Responsibilities
- Lead and mentor a team of ML engineers, fostering a collaborative and innovative work environment
- Collaborate with other teams, such as data engineering and IS operations, to drive cross-functional initiatives and ensure smooth ML Ops processes
- Design, implement, and manage scalable and efficient machine learning infrastructure on the Azure cloud platform paired with Azure Databricks
- Lead the implementation and optimization of machine learning workflows on the Databricks platform, utilizing its unified analytics capabilities for streamlined development and experimentation
- Implement robust CI/CD pipelines for machine learning models, enabling automated testing, deployment, and monitoring of models in production using Azure DevOps or similar tools
- Leverage Databricks' capabilities for efficient model versioning and ongoing performance tracking
- Stay informed about the latest advancements in Databricks, Azure, and machine learning technologies, and evaluate their potential impact on our projects
- Encourage experimentation and innovation within the team to optimize ML Ops processes and enhance overall model performance.
Education and Experience:
- Bachelor’s Degree or equivalent experience
- At least five to 10 (5 – 10) years of hands-on experience deploying and maintaining machine learning models
- Previous team leadership or supervisory experience
- Experience tracking data and model drift for models in production
- Experience building standardized feature stores is preferred
- Previous experience working with healthcare data is a plus
Our Comprehensive Benefits Package
Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.
Your career starts now. We’re looking for the next generation of health care leaders.
At AmeriHealth Caritas, we’re passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we’d like to hear from you.
Headquartered in Newtown Square, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services.
Discover more about us at www.amerihealthcaritas.com.