R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For™ 2023 by Great Place To Work® Institute. We are committed to transform the healthcare industry with our innovative revenue cycle management services. Our goal is to ‘make healthcare simpler’ and enable efficiency for healthcare systems, hospitals, and physician practices. With over 30,000 employees globally, we are about 14,000 strong in India with offices in Delhi NCR, Hyderabad, Bangalore, and Chennai. Our inclusive culture ensures that every employee feels valued, respected, and appreciated with a robust set of employee benefits and engagement activities.
R1RCM is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers. We are looking for an experienced AI/ML engineer to join our R&D team, who can work on ML (Machine Learning) models, use deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference in the healthcare industry.
Objectives of this role
Develop and implement solutions/processes and carry out R&D (Research and Development) to meet
the needs of our AI/ML strategy.
Help in design and development of advanced analytic solutions across functional areas as per
requirement/opportunities.
Foster innovative ideas for developing high impact solutions.
Responsibilities
- As part of the R&D team, help the team to advise leaders on a broad range of technology,
strategy associated with AI (Artificial Intelligence) & ML
- Work on functional design, process design (including scenario design, flow mapping),
prototyping, testing, and support procedures, in collaboration with the team.
- Articulate and document the solutions architecture and lessons learned for each exploration and
accelerated incubation.
- Work as team members, develop & assess the AI/ML and automation opportunities.
- Enable team members/as individual contributors to make necessary changes in product
performance or presentation.
- Develop new and innovative AI/ML based solutions and PoC (Proof of Concept)
Must have skills.
- 6-10 Years of experience in IT including 3+ years in developing / applying ML /AI models to practical and comprehensive technology solutions.
- Must be graduate in Computer Science preferably B. Tech/B.E. or MCA etc.
- Experience with ML, deep learning, TensorFlow, Python, NLP, Azure services.
- Knowledge of basic algorithms, object-oriented and functional design principles, and best-
practice patterns.
- Experience in API development/consumption.
- NoSQL/RDBMS database design and optimizations.
- Open and willing to learn & work in any technology.
Good to Have Skills
- Good to have knowledge of any other programming and/or scripting language.
- Exposure to Cloud technology like AWS (Amazon Web Services) / GCP (Google Cloud
Platform).
- Experience with visualization tools (e.g., Power BI, Tableau etc.)
- Experience in Healthcare sector e.g. RCM
Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.
Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visit: r1rcm.com
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What We Do
R1 is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers
R1’s proven and scalable operating models seamlessly complement a healthcare organization’s infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience.
