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Machine Learning Operations Engineer

Date:  Jan 23, 2023

Any city, CA, US, 99999

Req ID:  14991

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities.


As a Machine Learning Operations Engineer at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position.

Your role in our mission

  • Design, develop, and own the open-source data science and machine learning platform
  • Work closely with data scientists and automate machine learning solutions, including building data pipelines, continuous delivery (CI/CD) using Jenkins, Docker, Kubernetes, etc
  • Site reliability and availability, including end-to-end performance, service monitoring, alerting, capacity sizing and planning
  • Work with and support business partners in the use of DSML; business continuity planning and testing
  • Support of production infrastructure and services, including our on-prem and cloud infrastructure
  • Persistence and willingness to learn and apply new techniques/new tools; provide leadership to the team in mastering technologies, identifying and implementing worthwhile new technologies and improving our processes
  • Ability to work independently and with minimal or no direction
  • Entrepreneurial mindset to identify and solve problems and able to build prototypes/Minimal viable products
  • Ability to move seamlessly between business problems and coding
  • Good presentation skills to explain complicated analytical solutions to a non-technical group of people, internal or external

What we're looking for

  • At least 5 years of DevOps and system administration experience, preferably in small/mid-size corporate or mid/ late startups
  • At least 3 years in managing Azure or AWS cloud infrastructure
  • Hands on with programming skills, such as Python, Scala or Java and Linux administration (RHEL, Ubuntu) and scripting (e.g. shell script, Python)
  • Hands on with Hadoop-related technologies, MapReduce, Spark, Kafka, Hive, Impala, etc.
  • Knowledge in scaling Machine learning solutions

What you should expect in this role

  • Remote Opportunity
  • Required Time Zone: PT or MT


Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities.


We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings.


Gainwell Technologies is committed to a diverse, equitable, and inclusive workplace. We are proud to be an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

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