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Machine Learning Infrastructure Lead
hace 2 meses
At TomTom, we're seeking a highly skilled Technical Lead to oversee the development and implementation of our machine learning infrastructure. As a key member of our team, you'll be responsible for leading a cross-functional team of data scientists, ML engineers, and software engineers to design and deploy scalable machine learning solutions.
Key Responsibilities:- Lead the design and implementation of our ML platform to operate ML pipelines, ensuring high reliability and scalability.
- Collaborate closely with other teams to integrate ML models into products and services.
- Monitor and troubleshoot production ML systems to ensure smooth operation.
- Contribute to the development of best practices for ML Ops within the company.
- Bachelor's or Master's degree in Computer Science, Engineering, or related technical field.
- Proven experience in scaling up machine learning models for production deployment.
- Strong programming skills in languages such as Python, Java, or Scala.
- Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes.
- Experience as a technical leader for teams driving large-scale ML or equivalent systems.
- Strong understanding of machine learning fundamentals and best practices.
- Excellent writing skills for documenting technical designs and operational processes.
- Experience in operational excellence, including the ability to design and implement efficient and effective technical solutions.
