
About Datavant
Transforming healthcare data for better outcomes
Key Highlights
- Founded in 2017 with 1001+ employees
- Raised $80.5M in funding from notable investors
- Merged with Ciox Health, creating a $7B health data ecosystem
- Clients include Janssen, Symphony Health, and Medidata
Datavant is a leading healthcare data platform headquartered in Phoenix, AZ, that leverages AI to help medical companies securely organize, protect, match, interpret, and share data. Founded in 2017, Datavant has raised $80.5M in funding from investors including Transformation Capital and Johnson & ...
🎁 Benefits
Datavant offers a competitive benefits package with multiple health plan options, a remote-friendly work environment, and generous parental and family...
🌟 Culture
Datavant fosters a remote-friendly culture that emphasizes collaboration and innovation in healthcare data analytics. The company is committed to leve...
Skills & Technologies
Overview
Datavant is hiring a Senior MLOps Engineer to operationalize and automate machine learning workflows. You'll work with Apache Spark, Python, and Databricks to ensure scalability and reliability in healthcare data solutions. This position requires expertise in MLOps and collaboration with data scientists and software engineers.
Job Description
Who you are
You are a skilled MLOps Engineer with a strong background in operationalizing and automating machine learning workflows. With expertise in Apache Spark and Python, you understand how to design and maintain scalable MLOps infrastructure and pipelines. Your experience with GPU technologies and Databricks enhances your ability to deploy machine learning models efficiently. You thrive in collaborative environments, working closely with data scientists and software engineers to ensure the reliability and efficiency of machine learning models in production.
You have a passion for healthcare technology and are motivated by the opportunity to create transformative change in the industry. Your ability to communicate effectively with cross-functional teams allows you to bridge the gap between data science and software engineering. You are adaptable and eager to grow your responsibilities as the company scales, contributing to a remote-first team culture that values collaboration and innovation.
What you'll do
In this role, you will design, implement, and maintain scalable MLOps infrastructure and pipelines using Apache Spark and Python. You will collaborate with data scientists to deploy machine learning models, ensuring they are monitored and managed effectively in production environments. Your responsibilities will include automating workflows to enhance efficiency and reliability, as well as troubleshooting and optimizing existing systems. You will play a critical role in shaping the MLOps strategy and ensuring that machine learning solutions are integrated seamlessly into the healthcare data platform.
You will also engage in regular communication with software engineers and DevOps teams to align on best practices and ensure that the infrastructure supports the needs of the data science team. Your contributions will directly impact the scalability and performance of machine learning applications, making a significant difference in how healthcare organizations connect and utilize data securely.
What we offer
Datavant offers a remote-friendly work environment that empowers you to shape your working conditions to suit your needs. We invest in our people and believe in hiring high-potential individuals who are humble and eager to grow. You will be part of a highly collaborative team that is passionate about making a difference in healthcare. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.
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