Principal ML Ops Engineer

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One of the companies we collaborate with at Joppy is looking to hire an ML Ops Engineer to join our Enterprise AI Products and Technology Team.

The ideal candidate will have industry-relevant experience delivering Machine Learning or Data Science projects at scale. You will be part of a collaborative team of multidisciplinary engineers, working closely with data science teams, and have the opportunity to create tools, standards, and automate common tasks of the machine learning product lifecycle.

A part of the role is also to enhance the capabilities of the platforms team to better support the data scientists’ workflows. Our data science teams undertake major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led medication discovery, and software as a medical device systems.

As an ML Ops engineer , you should have a software engineering mindset towards automation and agility, with the ability to question and improve data science workflows.

Responsibilities

• Collaborate with Data Scientists and Machine Learning Engineers to understand their challenges and build supporting tools and platforms.
• Be part of a high-performing agile team, continuously improving ML development environments, platforms, and tooling.
• Work with governance and compliance teams, such as Cyber Security and Data Privacy, to secure systems without hindering productivity.
• Adapt standard machine learning methods to leverage modern parallel environments (distributed clusters, multicore SMP, GPU).
• Promote a “production first” mindset to scale research to production seamlessly.

Requirements

We offer

Here, you will collaborate with multinational teams, contribute to innovative projects, and have opportunities for continuous learning and growth.

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Seniority level : Associate

Employment type : Full-time

Job function : Information Technology, Tech, Internet

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