200+ applicants

Company

Accompany Health · 1 day ago

Principal Machine Learning Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

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Responsibilities

Technical Leadership

Be the AI champion and empower others to leverage the data to its full potential with a review of AI models.

Lead the technical design and implementation of reliable, scalable, and efficient Machine Learning infrastructure, products, and software solutions for external and internal customers.

Lead the development of efficient, reliable AI pipeline architecture with strong monitoring capabilities.

Provide technical leadership to develop data engineering best practices and standards that promote accessibility and usability.

Build and maintain robust, scalable data infrastructure to support current and future needs.

Create and maintain optimal AI pipeline architecture with high observability and robust operational characteristics.

Champion responsible AI development by implementing and reviewing models that maximize data value while ensuring fairness and equity

Assemble large, complex data sets that address functional and strategic requirements.

Partner with cross-functional teams, including Executive, Product, Clinical, Data, and Design, to assist with data-related technical issues and support their data infrastructure needs

Identify, design, and implement process improvements to enhance efficiency and scalability.

Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

Develop Safeguards to ensure that AI models are fair and appropriate so that all patients receive high-quality and timely care.

Optimize our ecosystem to generate meaningful insights and drive innovation

Develop efficient, reliable AI pipelines with strong monitoring and observability

Navigate and optimize our data ecosystem to drive meaningful insights

Work with and assemble large, complex data sets that meet functional / non-functional needs.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningData EngineeringPythonSQLAWS SagemakerLLM ModelsTransformersAI Pipeline ArchitectureModel VersioningReproducibilityHealthcare ExperienceTechnical Leadership

Required

5+ years of data engineering experience, including 3+ years focused on machine learning

Graduate degree in Computer Science, Statistics, or related quantitative field

You are entrepreneurial and mission-driven and can present your ideas with clarity and confidence

Problem solver who can thrive in a remote but collaborative team environment

Hands-on expertise in developing and implementing modern LLM models and transformers

Hands-on expertise in developing and deploying ML models in a production environment

Strong Python, SQL, and ability to create efficient and maintainable code for machine learning applications

Develop, productize and maintain ML pipelines for model training, evaluation, deployment (such as AWS Sagemaker, Bedrock)

Design and Implement best practices for model versioning, experimentation, and reproducibility

Continuously improve our ML infrastructure for stability, scalability, observability, and security

Develop internal tooling and libraries to enhance ML workflow efficiency

Performing root cause analysis identify opportunities for improvement

To keep our patients, communities and each other safe, you'll be required to comply with Accompany Health’s medical clearance requirements, including receiving the COVID-19 vaccine.