The world’s most popular audio streaming subscription service is looking for a Machine Learning Specialist to join the band in a consultant assignment. The client has transformed music listening forever when launched in 2008.

Period: 2025-10-10 to 2025-12-31 (full-time), with a possibility of extension.

About the role

The Hendrix ML Platform team is dedicated to developing a robust, company-wide platform for training and serving machine learning models. This platform streamlines the productionization of AI and ML models by mitigating the incidental complexities involved in creating backend services for serving predictions and training models.

What you'll do

• Contribute to our client’s ML Platform SDK and build tools for various ML operations.
• Collaborate with Machine Learning Engineers (MLE), researchers, and various product teams to deliver scalable ML platform tooling solutions that meet the timelines and specifications of given requirements.
• Work independently and collaboratively on squad projects that often require learning and applying new technologies that may go beyond existing skillsets.
• Manage and maintain large-scale production Kubernetes clusters for ML workloads, including ML platform infrastructure and necessary DevOps.
• Design, document, and implement reliable, testable, and maintainable solutions for ML infrastructure capabilities.

Who you are

• You have 3+ years of hands-on experience productionizing ML models.
• You have knowledge of deep learning fundamentals, algorithms, and open-source tools such as Huggingface, Ray, PyTorch, or TensorFlow.
• It’s a plus if you understand distributed training leveraging GPUs and Kubernetes.
• You have a general understanding of data processing for ML.
• You have experience with agile software processes and modular code design following industry standards.
• You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languages.

We are Market Partner

Market Partner is proud to be an equal opportunity employer. You are welcome to our community regardless of who you are, no matter where you come from, or what you look like. We apply ongoing selection and may fill the position as soon as we find the right candidate.