Machine Learning Engineer Senior

Role Overview

The Machine Learning (ML) Engineer Senior will be responsible for developing and implementing ML pipelines on the Azure platform utilizing Azure Databricks. The Engineer will apply expertise with Azure and Databricks services, combined with strong knowledge of machine learning models and deployment, will be crucial in enabling seamless integration of data science and engineering workflows.

Work Arrangement

• This is a 100% remote position but you must live in EST or CST time zones

Responsibilities

• Develop and deploy end-to-end machine learning pipelines on the Azure Databricks platform
• Collaborate with data scientists, engineers, and stakeholders to understand project requirements and translate them into scalable ML solutions
• Design and implement Azure-based infrastructure and tools for efficient model training, evaluation, and deployment
• Ensure the scalability, reliability, and security of machine learning systems in production environments
• Monitor and troubleshoot deployed ML systems, addressing issues related to performance, data quality, and reliability
• Implement CI/CD processes for machine learning models, enabling seamless updates and version control
• Stay up to date with the latest advancements in Azure ML services and identify opportunities for innovation and optimization
• Collaborate with cross-functional teams to improve ML Ops processes, documentation, and best practices
• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and growth

Education/ Experience:

• Bachelor’s Degree in computer science, engineering, data science, other technical field or extensive relevant experience is required
• Three to five (3 - 5) years’ experience ML engineering, data science or similar experience
• Hands on machine learning experience in a production Databricks environment (Azure preferred) including PySpark, MLFlow, Feature Store, and Azure DevOps
• Fluency in Python and SQL
• Ability to guide the team on the best way to structure our ML Ops process and help implement the process
• Experience building model and data drift monitoring solutions in a production environment.

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.