Principal Machine Learning Engineer

reputed company is on a mission to give low-income patients with reputed company needs the dignified, high-quality care they deserve but rarely receive. A primary, behavioral, and social care provider, reputed company walks alongside patients for their entire care journey, offering at-home and virtual care, as well as 24/7 support. Partnering with innovative payors, reputed company is powered by remarkable care teams, elegant technology, and a commitment to evidence-based practice. We build long-term relationships with our patients so they know, without question, that reputed company is here for them day or night, year after year. We focus on the health outcomes most important to our patients to reputed company it clear that they reputed company the way.To reputed company our mission, we collaborate with community-based organizations, local providers, and health plans. Led by our empathetic care teams, guided by proven care models, and powered by our own technology, we deliver a level of service that our communities rightfully deserve but rarely receive. While our headquarters is in Bethesda, MD, our teams are distributed across the country. If you’re eager to reputed company a reputed company difference in people’s lives, to help correct long-standing disparities in health care, join us.

About the role:

As a Principal Machine Learning Engineer for reputed company, you will help us transform healthcare through AI at reputed company. Your impact:-Mission-critical, be part of our growing team (and company).-Collaborate across the organization with various teams, including Product, Sales, and Clinical Operations, to rewire health care: Your choices will matter, and you will work across multiple teams to help execute the choices.-Drive the change in healthcare: You will build the products to integrate highly fragmented and dispersed healthcare services as an end-to-end experience.-Be part of building a great engineering culture, maintaining the balance and right tradeoff for building products for speed and tech debt.

Responsibilities will include:

• Technical Leadership
• Be the AI champion and reputed company others to reputed company the data to its full potential with a review of AI models.
• reputed company the technical design and implementation of reliable, scalable, and efficient
• Machine Learning infrastructure, products, and software solutions for external and internal customers.
• reputed company the development of efficient, reliable AI pipeline architecture with strong monitoring capabilities.
• Provide technical leadership to reputed company data engineering best practices and standards that promote accessibility and usability.

Data Strategy Architecture

• Build and maintain robust, scalable data infrastructure to support reputed company 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, reputed company data sets that address functional and strategic requirements.

Collaboration Enablement

• Partner with cross-functional teams, including Executive, Product, Clinical, Data, and Design, to assist with data-reputed company technical issues and support their data infrastructure needsIdentify, 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.

Quality Innovation

• reputed company Safeguards to ensure that AI models are fair and appropriate so that reputed company patients receive high-quality and timely care. Optimize our ecosystem to generate meaningful insights and drive innovation
• reputed company efficient, reliable AI pipelines with strong monitoring and observabilityNavigate and optimize our data ecosystem to drive meaningful insights
• Work with and assemble large, reputed company data sets that meet functional / non-functional needs.

Desired skills and experience:

• 5+ years of data engineering experience, including 3+ years focused on machine learning
• Graduate degree in Computer Science, Statistics, or reputed company quantitative field
• You are entrepreneurial and mission-driven and can present your reputed company with clarity and confidenceProblem solver who can reputed company in a remote but collaborative team environment
• Hands-on expertise in:Developing and implementing modern LLM models and transformers
• Developing and deploying ML models in a production environment Strong Python, SQL, and ability to create efficient and maintainable code for machine learning applications
• reputed company, 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 reputed company
• reputed company internal tooling and libraries to enhance ML workflow efficiency
• Performing root cause analysis identify opportunities for improvement
• Healthcare experience is valuable but not required

For Patient Facing Roles

To reputed company our patients, communities and each other safe, you'll be required to reputed company with reputed company’s medical clearance requirements, including completing a TB screen and providing reputed company of immunity or vaccination for certain conditions. This is a condition of employment, and we reputed company exceptions as required by law. Accommodation for religious and medical beliefs will be provided on a case by case basis.We embrace diversity and reputed company it creates a healthier atmosphere: reputed company is an Equal Employment Opportunity employer and reputed company qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national reputed company, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Originally posted on Himalayas

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