Senior Architect - Machine Learning

R1 RCM is aiming to create a robust data, analytics, and machine learning infrastructure, foster a data-driven culture, and ensure that data insights are effectively translated into actionable strategies that benefit health care providers and patients.
We deliver solutions to our enterprise clients, where R1 operates the client's entire revenue cycle, and to other clients that utilize point solutions.
Data drives our operation and workflows, and we have a competitive advantage of having access to vast amounts of structured and unstructured data at source fidelity.
R1's future success will be significantly shaped by how we make use of our data assets and innovate GenAI solutions to our operational workflows at scale.
We are seeking a highly skilled and innovative Machine Learning Architect to join our cutting-edge technology team.
As a Machine Learning Architect, you will be responsible for designing and implementing advanced AI and language models, driving technical and architectural decisions, and ensuring the development of efficient, scalable, and high-performance solutions.
You will work closely with cross-functional teams of developers, data scientists, and subject matter experts to deliver state-of-the-art AI technologies and solutions that meet our clients' needs.
• Key accountabilities for this role are to:
• + Design and implement robust and scalable Machine Learning solutions, leveraging cutting-edge AI techniques, deep learning algorithms, and natural language processing capabilities.
• Collaborate with product managers and stakeholders to understand business requirements and translate them into architectural designs and technical specifications.
• Lead the design and development of highly performant AI models and systems that can generate human-like text, comprehend language, and respond contextually to user input.
• Conduct research and experimentation to identify new AI techniques and algorithms that can enhance our language models' capabilities and performance.
• Evaluate and select appropriate tools, frameworks, and libraries to enhance productivity, efficiency, and scalability of AI systems.
• Collaborate with data scientists and machine learning engineers to gather data, preprocess it, and train models using state-of-the-art deep learning frameworks.
• Stay abreast of advancements in AI, machine learning, and language processing and continuously enhance your knowledge and skills to inform architectural decisions.
• Provide technical guidance and mentorship to junior team members, ensuring high-quality code development and adherence to best practices.
• Evaluate and optimize the performance of AI systems, ensuring fast response times, low latency, and efficient resource utilization.
• Collaborate with DevOps and infrastructure teams to implement CI/CD pipelines, cloud deployment strategies, and production monitoring tools.
• To be successful in this role, the candidate will have:
• + Minimum of 7 years of machine learning modeling experience is required
• Minimum of 3 years experience working in healthcare or HealthTech
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Strong experience in AI, natural language processing, language generation, and conversational AI.
• Experience delivering models from data acquisition to application integration.
• Demonstrated thought leadership on future data science strategy.
• Advanced knowledge of machine learning modeling techniques (clustering, decision tree learning, and NLP) and their real-world advantages/drawbacks.
Experience with GPT models or similar language models is highly desirable.
• Knowledge of cloud computing platforms (e.g., Azure) and their AI-related services.
• Experience using SQL to extract data from databases.
• Experience using Snowflake and Databricks.
• Ability to visualize data and model results utilizing a modern BI tool (Power BI, Tableau, Spotfire, etc.).
• Experience implementing LLMs for data extraction, summarization, and/or content generation.
• Demonstrated proficiency in software engineering principles, design patterns, and familiarity with modern development methodologies.
Strong problem-solving and analytical skills, with the ability to understand complex AI challenges and design elegant, scalable solutions.
• Excellent communication skills, both verbal and written, can present technical concepts to non-technical stakeholders.
• Strong collaboration skills and the ability to work effectively in cross-functional teams.
If you are a visionary Machine Learning Architect with a passion for pushing the boundaries of AI and language processing, we encourage you to apply.
Join our team and help us shape the next generation of intelligent AI solutions for the leading Revenue Cycle Management organization in the country.
For this US-based position, the base pay range is $121,915.50 - $190,173.00 per year .
Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
The healthcare system is always evolving - and it's up to us to use our shared expertise to find new solutions that can keep up.
On our growing team you'll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world.
We go beyond expectations in everything we do.
Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team - including offering a competitive benefits package.
(1rcm.com/benefits)
R1 RCM Inc.
('the Company') is dedicated to the fundamentals of equal employment opportunity.
The Company's employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person's age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law.
Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
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