Lead – Machine Learning Engineer

4 days ago

Ahmedabad, Gujarat, India AGS Health Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 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

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