Lead – Machine Learning Engineer

Job Title : Lead – Machine Learning Engineer

Position Overview :

We are looking for Lead Machine Learning for our research team to build best-in-class AI / ML solutions in healthcare and revenue cycle management space. As a Machine Learning Lead, you will play a critical role in developing and implementing machine learning models and solutions to drive efficiencies, reduce errors, and enhance the overall performance of our healthcare RCM services. You will lead a team of data scientists and engineers, working closely with cross-functional teams to deliver actionable insights and measurable results.

Key Responsibilities :

Engage with business and product teams to identify and flesh-out ML use-cases

Responsible for identifying needs, ingestion, quality and value evaluation, distillation & analysis of both structured and unstructured data from multiple sources

Researching solutions to overcome machine learning challenges

Managing and mentoring a team of ML engineers – work allocation and planning, problem solving, tactical problem solving and thought leadership

Leading development and optimization of machine learning and deep learning models

Customizing models and build on top of existing framework to address client specific requirements

Creating assets to fast-track solution development

Staying informed about latest developments in Data Science / AI field

Qualifications :

Advanced degree or Master’s degree in machine learning / data science / computer science or a related field

Proven experience (8 - 10 years) in developing and deploying machine learning models in a healthcare or RCM setting

Strong programming skills in languages like Python or R

Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn)

Deep understanding of healthcare data and industry-specific challenges

Strong problem-solving and analytical abilities

Excellent leadership and team management skills

Effective communication and stakeholder management skills

Experience in MLOps, containerization, CI / CD pipeline is a plus