Sr. Machine Learning Engineer




Work Mode




No of Positions



7 years

Required Skills

Python, Numpy, Pandas, Scikit-learn, XGBoost, AWS, PyTorch

Job Description

  • Develop, optimize, and deploy machine learning models to support project objectives.
  • Process and analyze large datasets to inform model development and enhancements.
  • Maintain and improve existing machine learning models within our systems, ensuring they meet our standards for accuracy and performance.
  • Collaborate with cross-functional teams to integrate machine learning solutions into our operational framework.
  • Utilize software development tools to maintain a robust, scalable codebase.
  • Apply variety of machine learning techniques (e.g., statistics, clustering, classification, outlier analysis) to solve complex problems. 

Basic Qualifications

  • Proficiency in Python and knowledge of key machine learning packages such as Numpy, Pandas, Scikit-Learn, and XGBoost.
  • Understanding of data structures, data modeling, software architecture, and software development tools, including Git and virtual environments.
  • Demonstrated ability to apply machine learning techniques to solve real-world problems.
  • Experience in deploying machine learning models in code and working with existing models.
  • Strong problem-solving skills and the ability to work independently or as part of a team.


Preferred qualifications:

  • Experience in building and accessing API endpoints.
  • Cloud computing experience, particularly with AWS.
  • Experience with deploying open-source deep learning models, with a preference for those related to Life Sciences.
  • Proficiency in Deep Learning frameworks, such as PyTorch.
  • Experience in building and managing MLOps pipelines.
  • Bachelor’s degree in computer science, Information Technology, or related field

This role requires a blend of technical expertise, creativity, and a passion for innovation in machine learning. The successful candidate will contribute to a range of exciting projects, leveraging machine learning to make significant impacts in our operations and research endeavours.

How to Apply

Be part of a collaborative, fast-paced team at the forefront of innovation and technology advancements. Not only will you enjoy your work life at Relevance Lab, you’ll also have the opportunity to grow your skills and career. If you are passionate about driving results, we’d love to talk with you.

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