Principal ML Scientist

6 days ago

Bengaluru, India Elucidata Full time

About the Role:

Elucidata is looking for a Principal ML Scientist with ~4+ years of experience to join the team in Bangalore, India. This is an amazing opportunity to work in a category defining start-up company. As a Principal ML Scientist at Elucidata you'll have the opportunity to work on groundbreaking projects in life science , collaborate with an interdisciplinary team (comprising engineers, domain specialists, product managers, etc), author publications, present in conferences and contribute to the future of AI-driven technologies.


Key Responsibilities:

  • Lead and mentor a team of highly motivated ML engineers on projects that are cutting edge with an aim to publish the work done in peer reviewed journals like Nature, Science
  • Develop and lead the implementation of strategies to align foundation models across different biological modalities - imaging, EHR, etc
  • Aid in the ideation with product stakeholders and help the team in rapidly prototyping involving disparate data types
  • Transform existing prototype code into optimized scalable, production-grade software
  • Breaks down complex problems into tractable components with iterative improvements
  • Manage the development of re-usable frameworks, models and components for future use
  • Drive best practices in machine learning engineering and MLOps
  • Stay up to date with latest technologies and literature recommending solutions to improve business goals
  • Prepare research papers and contribute to conferences/webinars



Qualifications:

  • Have a desire to learn and embrace new and emerging technology/domain - life science
  • PhD in Computer Science/Mathematics/Statistics/related STEM discipline with 4+ years of experience in a technical role, first author publications in peer reviewed journals and have managed a team of at least 3 or more ML engineers
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Conversant with probabilistic models and have an understanding of the mathematical concepts underlying machine learning methods
  • Experience integrating Machine Learning solutions into production-grade software with a sound understanding of ModelOps and MLOps principles and the ability to translate between language and methodologies used both in research and engineering fields
  • Hands on experience with Python and one of PySpark or Scala, including demonstrable proficiency of AI/ML frameworks and tools (e.g., MLFlow, TensorFLow, PyTorch)
  • Experience working with cross-functional and distributed teams in a global and diverse environment
  • Proven excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concept and results to technical and non-technical audiences.

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