Senior Machine Learning Engineer

September 17

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Parexel

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Regulatory and product development consulting • early phase clinical research • phase II-III clinical research • late phase clinical research • eClinical solutions

10,000+

💰 Venture Round on 1990-01

Description

• Develop AI Labs’ machine learning platform and create production ready AI-based solutions and models. • Write, test, and release code and internal libraries according to the technology and product roadmaps. • Work collaboratively with application engineering, product, and business stakeholders. • Contribute to establishing standards of practice in applied ML/AI to the life sciences industry. • Create educational content to improve AI literacy and guide appropriate AI usage.

Requirements

• Educated to Master’s or PhD level in engineering or computer science with a focus on Machine Learning (and NLP) or other equivalent qualification/experience. • Strong previous NLP Engineer or Machine Learning Engineer experience working in a commercial environment is essential. • Advanced level experience with Git, Github, scientific computing packages (pytorch, numpy, tensorflow), AWS or Azure cloud platforms, JIRA, Confluence, Docker. • High level expertise in the use of Python is essential. • Experience producing high quality code in a shared context. • Up to date with state of the art in Machine Learning (and NLP techniques/models). • Experience conducting and publishing research in Machine Learning/AI (NLP) preferred. • Advanced experience owning the delivery of cutting-edge production-quality AI solutions and models and experiencing acting as a lead on such projects in a professional engineering context.

Benefits

• Holiday • Private healthcare • Dental insurance • Other benefits