Machine Learning Deployment Specialist

9 hours ago


Stockholm, Stockholm, Sweden Truecaller Full time

About Truecaller

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Truecaller is a leading provider of communication and data analytics services. Our goal is to make communication smarter, safer, and more efficient.

We achieve this by building innovative products that use AI and machine learning to enhance user experiences and protect against fraud and harassment.

Our team is passionate about using technology to create positive impact and drive business growth.

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  • Top 20 most downloaded apps globally, with over 400 million active users per month.
  • World's #1 caller ID and spam-blocking service for Android and iOS.
  • Founded in 2009 and listed on Nasdaq OMX Stockholm as a Large Cap company.

About the Role

We are seeking a highly skilled Senior ML Engineer to join our Data Science and Analytics Products team.

This role will focus on optimizing training and deployment of ML models to be quick and cost-efficient.

You will collaborate with teams across Truecaller to establish best practices and tools for efficient ML model development and deployment, particularly on mobile platforms.

The ideal candidate will have hands-on experience deploying ML models on mobile devices and a strong understanding of machine learning frameworks and their deployment on mobile platforms.

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  • 5+ years of experience in machine learning engineering, with a focus on deploying ML models in production environments.
  • Hands-on experience deploying ML models on mobile devices (e.g., TensorFlow Lite, Core ML, ONNX Runtime Mobile).
  • Strong understanding of machine learning frameworks (TensorFlow, PyTorch, ONNX) and their deployment on mobile platforms.
  • Understanding of both Android and iOS development and how that impacts ML model deployment and usage.
  • Strong communication and collaboration skills, with the ability to work effectively across different teams and disciplines.

What We Offer

We offer a competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave top-up, pension contribution, Udemy membership to keep learning and improving, and free gym membership.

As a member of our team, you will have the opportunity to work on challenging projects, learn from experienced professionals, and contribute to the growth and success of our organization.



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