Sr. Machine Learning Engineer

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. 

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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.