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Machine Learning Manager

77% Flex
Full Remote
Senior (5-10 years)
  • Remote from:EMEA
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Machine Learning Manager

77% Flex
Remote: Full Remote
Experience: Senior (5-10 years)
Work from: EMEA...

Offer summary

Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field., Minimum 5 years commercial experience as a machine learning engineer; 3 years as a manager of machine learning engineers., Proficiency in computer vision and deep learning techniques., Hands-on experience with PyTorch or TensorFlow, OpenCV, SKLearn, and developing production-grade Python code., Experience in best practices for monitoring and maintaining ML models in production environments..

Key responsabilities:

  • Design robust production-grade machine learning systems.
  • Lead research for deploying advanced algorithms.
  • Stay updated on latest advancements in deep learning and computer vision.
  • Mentor technical and professional development of team members.
  • Deploy models as AWS Sagemaker endpoints.
Jumio Corporation logo
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Jumio Corporation
SME

http://www.jumio.com/

201 - 500 Employees

Job description

Logo JobgetherYour missions
Role purpose

As a Machine Learning Manager, you are leading teams of talented Machine Learning Engineers. As a servant leader, you ensure your teams are thriving not only in terms of impact but also in terms of collective and individual growth. Reporting to the Vice President of Artificial Intelligence, with your peers, you are part of the leadership group setting the standard of excellence for machine learning at Jumio. As an expert in machine learning and deep learning, you guide your teams in designing robust machine learning systems for retrieval, open-set classification in cases of very large numbers of classes, information extraction and structuring.

Role Value

You foster an innovative mindset and a focus on delivery to ensure the success of Jumio market-leading identity verification suite of products. In particular, your continuous push to implement cutting-edge technology ensures the completeness and exactness of information extraction and handling, which is foundational to uniquely identify individuals and fend off synthetic identities. Everyday you are contributing to strengthening online trust.

Example Responsibilities
  • Design robust and scalable production-grade machine learning, deep learning systems, in particular systems with large language models.
  • Foster a mindset of well crafted code and architecture
  • Lead research to support the deployment of advanced algorithms.
  • Develop, evolve, and support production-quality code.
  • Deploy models as AWS Sagemaker endpoints.
  • Stay updated with the latest advancements in deep learning, computer vision, and foundational models by engaging with academic papers and attending industry conferences.
  • Work collaboratively with other engineering leaders, architects and product managers in an Agile development environment.
  • Mentor the technical and professional development of your team members
Experience and Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
  • A minimum of 5 years of commercial experience as a machine learning engineer.
  • A minimum of 3 years of commercial experience as a manager of machine learning engineers.
  • Proficiency in computer vision and deep learning techniques.
  • Hands-on experience with PyTorch or TensorFlow, OpenCV, SKLearn, and in developing production-grade Python code.
  • Demonstrated experience in implementing best practices for monitoring and maintaining ML models in production environments.
  • Experience in building, training, and deploying models, including deploying  to production environments.
  • Ease at managing engineers in a multi-functional matrix environment.
  • Strong communication and problem-solving skills.
Great to Have Experience and Qualifications
  • Experience with large language models (LLMs).
  • PhD in Computer Science or related field with a specialization in computer vision or deep learning.
  • Experience in Java, C++
  • Experience in responsible AI.
Key Characteristics and Attitudes:

In a recent global survey these attributes were valued by Jumios in all locations and functions - we firmly believe in hiring for attitude as well as skill.

  • Friendly and supportive
  • Adaptable and flexible
  • Articulate and persuasive
  • High IQ and EQ
  • Curious and coachable
  • Commercially Aware
  • Resilient and tenacious
  • Big picture and the detail

Jumio Values:

IDEAL: Integrity, Diversity, Empowerment, Accountability, Leading Innovation

Equal Opportunities:

Jumio is a collaboration of people with different ideas, strengths, interests and cultures. We welcome applications and colleagues from all backgrounds and of all statuses.

About Jumio:

Jumio is a B2B technology company dedicated to eradicating online identity fraud, money laundering and other financial crimes to help make the internet safer. We leverage AI, biometrics, machine learning, liveness detection and automation to create solutions that are trusted by leading brands worldwide and respected by industry thought leaders. 

Jumio is the leading provider of online identity verification, eKYC and AML solutions. With a global footprint, we’re expanding the team to meet strong client demand across a range of industries including Financial Services, Travel, Sharing Economy, Fintech, Gaming, and others.

Applicant Data Privacy

We will only use your personal information in connection with Jumio’s application, recruitment, and hiring processes, as described in Jumio’s Applicant Privacy Notice. If you have any questions or comments, please send an email to privacy@jumio.com.

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Senior (5-10 years)
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Hard Skills
Soft Skills
  • Communicative and problem-solver.
  • Foster innovation and quality mindset.
  • Team collaborator and servant leader.

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