Senior AI, Machine Learning Engineer - Remote

About the position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Transforming the future of healthcare isn’t something we take lightly. It takes teams of the best and the brightest, working together to make an impact. As one of the largest healthcare technology companies in the U.S., we are a catalyst to accelerate the journey toward improved lives and healthier communities. Here at United Healthcare, we’re using our influence to drive positive changes across the industry, and we want motivated and passionate people like you to help us continue to bring new and innovative ideas to life. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Responsibilities

• Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts) ,
• Assemble large, complex data sets that meet business requirements ,
• Optimize data delivery and re-design infrastructure for greater scalability ,
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources ,
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics ,
• Design elegant interfaces between internal services and internal customers ,
• Design, build and launch new data extraction, transformation and loading processes in production ,
• Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs

Requirements

• MS or BS degree in computer science or related field ,
• 5+ years of experience in applied AI Infrastructure ,
• 3+ years of experience in distributed systems ,
• Experience with AWS technologies (Lambda, EMR, EC2, SQS and RDS etc.) ,
• Hands-on experience with modern languages such as Python, Scala or Java ,
• Hands-on experience with databases such as NoSQL, SQL, Elastic ,
• Hands-on experience with compute technologies such as Spark, Hadoop ,
• Experience with CI/CD using github action or jenkins, or alike ,
• Familiarity with Shell Scripting using Bash or Zsh

Nice-to-haves

• Experience in Healthcare AI

Benefits

• Comprehensive benefits package ,
• Incentive and recognition programs ,
• Equity stock purchase ,
• 401k contribution