Machine Learning Operations Engineer

This is a fully remote position, open to applicants in Utah.

📋 Description

• Create frameworks for machine learning engineering that encompass governance, testing, and automation.

• Construct and implement machine learning platforms utilizing model registries, feature stores, and monitoring systems.

• Operationalize and enhance data science models to ensure reliability, scalability, and optimal performance.

• Automate the processes of model retraining, maintenance, and monitoring in production.

• Guarantee that data science models adhere to Responsible AI best practices.

• Design efficient and scalable machine learning systems aimed at improving healthcare operations, strategies, value enhancement, patient safety, and satisfaction.

• Collaborate with data scientists, application developers, data architects, and systems engineers in developing ML systems and pipelines.

• Employ advanced analytical methods and tools to address healthcare challenges.

• Lead and manage initiatives from their inception through to workflow integration.

• Involve stakeholders along with analytics, data science, data architecture/engineering, and software engineering teams.

• Act as a subject matter expert and resource for others.

• Implement and maintain cutting-edge data science tools and methodologies that provide strategic insights and products.

⛳️ Requirements

• Proven experience in leading the development of MLOps machine learning platforms utilizing model registries, feature stores, and monitoring tools.

• Demonstrated expertise in the end-to-end development, implementation, and management of machine learning systems and pipelines within operational workflows.

• Proficient in creating and utilizing custom APIs, functions, libraries, and/or packages across various programming languages.

• Advanced programming and code review skills in Python, R, Java, Scala, or other similar statistical and data analysis software tools.

• Familiarity with Linux and Bash scripting.

• Extensive experience with DevOps best practices and tools, including continuous integration, continuous deployment, Docker, Kubernetes, and Git.

• Advanced ability to write and optimize queries for large or complex datasets, including unstructured data.

• Knowledgeable in Big Data technologies such as Hadoop, Spark, Hive, NoSQL, and in-memory data stores.

• Experience with cloud platforms such as AWS and Azure.

• Capable of thriving in a collaborative, remote development setting.

• Strong ability to communicate technical insights through data visualization as well as written, verbal, and interpersonal communication.

• Experience in cultivating machine learning partnerships across various organizational levels.

• A degree in data science, computer science, engineering, information systems, or a related quantitative/computational field is preferred.

• Experience with Azure or AWS cloud computing and Databricks is preferred.

• Background in healthcare or insurance is preferred.

🏝️ Benefits

• Comprehensive benefits package that includes wellness, health, security, connection, and engagement programs.

• PEAK program offering upfront tuition coverage paid directly to educational institutions.

• Access to over 100 learning opportunities, including undergraduate programs, high school diplomas, and professional skills certifications.

• Eligibility for the PEAK program starting from day one of employment.

• Flexible work arrangements where applicable and specified in the job posting.

• Provision of company equipment and remote work support in accordance with Intermountain policies.