Senior Software Engineer- AI/ML, Data Solutions
Change Healthcare occupies a uniquely interconnected position at the center of healthcare. We believe it is our responsibility to test, adopt, and refine new technologies to help create a more efficient healthcare system. As healthcare technology leaders, we are passionate about building enterprise-class solutions using the latest cloud technologies and current development best practices. We have a bias for action with a broad mandate to innovate and provide world class healthcare solutions.
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What makes a successful Software Engineer at Change Healthcare?
Check out the traits we’re looking for and see if you have the right mix.
- Team player
- Quick learner
“I love working at Change Healthcare! I get to work with incredibly intelligent people who always share their knowledge and help me improve my skills, I work with cutting edge cloud technology, and I get the satisfaction of knowing that the work I am doing is directly helping to improve the US healthcare system. Change Healthcare is a fantastic company that encourages personal growth and has provided plenty of opportunities to advance my career.” Derek Kruger
“When I think about working at Change Healthcare, I think about some of the most fruitful experiences of my career. At every turn, the company has encouraged and pursued innovation all while bolstering up and supporting me as an individual contributor. There a ton of hurdles in the healthcare industry and I have full confidence that Change Healthcare will be one of those companies who can solve them. I am glad to be a part of this journey.” Jacob Smith
Cloud Software Engineer
“I savor every day working at Change Healthcare. With a strong cloud-first mantra and push for true DevOps from senior leadership, the work and processes are under constant pressure to improve. Not only do I work with many dedicated, interesting, and smart people, I know my work helps improve healthcare and medical processes for the entire country.” Leeland Artra
“I am very thankful for the growth and development opportunities given to me every day at Change Healthcare. Knowing that the meaningful work I am a part of changes lives encourages me daily. The culture to develop and nurture excellence continues to inspire me to become a better engineer and professional.” Rachael Babcock
Cloud Software Engineer
“What I love most about my job is that I have the opportunity to work on a variety of technical problems that push me to improve my technical and problem solving skills. Being part of the data engineering team, I always have freedom to work on cutting edge technologies alongside a motivated team.” Sandeep Datla
Software Engineer IV
There are numerous career paths and opportunities for growth at Change Healthcare. Below is an example of the trajectory you could have in your careers as a Software Engineer.
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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 Change 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.
If you’re ready to embrace your passion and do what you love with a company that’s committed to supporting your future, then you belong at Change Healthcare.
Pursue purpose. Champion innovation. Earn trust. Be agile. Include all.
Empower Your Future. Make a Difference.
Title: Senior Software Engineer- AI/ML
Overview Of Position
Our Data Solutions team is seeking a world-class Senior Machine Learning Engineer to build Artificial Intelligence/Machine Learning platforms and solutions for Change Healthcare Data Science as a Service (DSaaS) platform, which enables customers to generate timely, high powered insights.
In this role, you will enjoy working with a highly talented and diverse team of data scientists and engineers specializing in deep learning, active learning, and classical machine learning with one of the richest data sets in US healthcare, nearly limitless cloud compute resources including Spark clusters and GPUs, and the ability to support a large pipeline of AI models directly into business impact.
This engineer must have deep knowledge of AI/ML and a proven ability to help drive a new generation of data and machine learning-enabled services and products to impact the healthcare system.
What Will Be My Duties And Responsibilities In This Job?
Provide technical leadership and implementation for Software Engineering projects supporting our AI and machine learning goals
Modifies, implements, tests, and supports all product related technology and functionality, including software infrastructure in an AWS hosted environment
Demonstrates strong drive to learn and advocate for development best practices (TDD, code reviews, continuous integration, etc.)
Communicates proactively and effectively with team members and other product stakeholders in a highly Agile environment
Self-starter that will take tasks and accomplish them with little oversight according to timelines and budgets agreed upon with business and technology stakeholders
What Are The Requirements Needed For This Position?
Master's degree in Computer Sciences, or Mathematics OR Bachelor’s degree in Computer Sciences, or Mathematics +10 years of equivalent work experience
The ideal candidate will have a background in AWS ecosystem, have experience working with large data sets, and have experience in building Machine Learning Platforms, applying Machine Learning and deploying data-driven solutions
Strong knowledge and experience of AWS cloud infrastructure compute, networking, storage and other AWS cloud services like S3, EC2, EMR, SageMaker, EKS, ECS, Athena, Glue
Expertise with building ML models and Data Pipelines at scale
Strong fluency with Jupyter notebooks, Pythonand Python3 experience preferred
Proficiency using Airflow and other workflows preferred
Understanding of columnar databases, Redshift experience preferred
Experience with data lakes preferred
Build and Deploy ML REST APIs
Experience with Statistical analysis tools like SAS, Strata is preferred
Experience with large data sets and distributed computing (Spark)
Above-average capabilities with technologies or tools such as Docker, Gitlab CI, Python packaging, command-line executions and shell scripting
Exceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives)
What Other Skills/Experience Would Be Helpful To Have?
Strong knowledge of healthcare data, analytics & workflows, excellent problem-solving & project management capabilities, and a proven ability to design & drive AI/ML platform
Excellent critical thinking, verbal and written communications skills
Knowledge of common data structures and experience with large datasets
Knowledge and experience in the healthcare industry is a plus
How much should I expect to travel?
Employees in roles that require travel will need to be able to qualify for a company credit card or be able to use their own personal credit card for travel expenses and submit for reimbursement
What Are The Working Conditions And Physical Requirements Of This Job?
General office demands
Join our team today where we are creating a better coordinated, increasingly collaborative, and more efficient healthcare system!
Equal Opportunity/Affirmative Action Statement
Change Healthcare is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, genetic information, national origin, disability, or veteran status. To read more about employment discrimination protections under federal law, read EEO is the Law at https://www.eeoc.gov/employers/eeo-law-poster and the supplemental information at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf.
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