Machine Learning Engineer

Job Description

We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects. The ideal candidate will possess a strong foundation in machine learning, data processing, and software development, with the ability to work seamlessly with existing models and deploy new models into production. 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 endeavors.

Required Skills and Qualification

• Proficiency in Python and knowledge of key machine learning packages such as numpy, pandas, sci-kit-learn, and xg boost.
• 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.
• 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.

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