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Machine Learning Engineer

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Full Remote
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Offer summary

Qualifications:

Bachelor’s Degree in computer science, engineering, data science, or a related technical field., 1 to 3 years of experience in data science, machine learning, or software engineering., Fluency in Python and SQL is required., Hands-on experience with Azure Databricks and related tools is preferred..

Key responsabilities:

  • Develop and deploy end-to-end machine learning pipelines on the Azure Databricks platform.
  • Collaborate with data scientists and engineers to translate project requirements into scalable ML solutions.
  • Monitor and troubleshoot deployed ML systems to ensure performance and reliability.
  • Implement CI/CD processes for machine learning models to enable seamless updates.

AmeriHealth Caritas logo
AmeriHealth Caritas XLarge https://www.amerihealthcaritas.com/
10001 Employees
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Job description

Your career starts now. We’re looking for the next generation of healthcare 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 healthcare 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.

  • Must be permanently authorized to work in the U.S. as a precondition of employment.

The Machine Learning (ML) Engineer 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, which will be crucial in enabling seamless integration of data science and engineering workflows.;

Key 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.

Education/ Experience:

  • Bachelor’s Degree in computer science, engineering, data science, or other technical field or additional relevant experience is required
  • 1 to 3 years experience related to data science, machine learning, and/or software engineering
  • Fluency in Python and SQL
  • Preferred hands-on machine learning experience in a production Databricks environment including PySpark, MLFlow, Feature Store, and Azure DevOps
  • Preferred experience building model and data drift monitoring solutions in a production environment

Diversity, Equity, and Inclusion

At AmeriHealth Caritas, everyone can feel valued, supported, and comfortable to be themselves. Our commitment to equity means that all associates have a fair opportunity to achieve their full potential. We put these principles into action every day by acting with integrity and respect. We stand together to speak out against injustice and to break down barriers to support a more inclusive and equitable workplace. Celebrating and embracing the diverse thoughts and perspectives that make up our workforce means our company is more vibrant, innovative, and better able to support the people and communities we serve.

We keep our associates happy so they can focus on keeping our members healthy.

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.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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