DevOps Careers

Manager, Engineering | ML Infrastructure & Tooling

The Manager of Engineering for ML Infrastructure & Tooling role encompasses overseeing the development and management of machine learning infrastructure within the company. The position requires a strong leader who will collaborate closely with data scientists, engineers, and product teams to ensure that the infrastructure meets high-performance standards and evolves according to emerging technologies.

Key responsibilities include directing the engineering team, defining the roadmap for ML tools and frameworks, and maintaining solid documentation to support scalable ML operations. You will also be tasked with optimizing existing frameworks to improve efficiency and support the AI projects of the organization.

Candidates should possess a robust understanding of machine learning algorithms, cloud services, and data architecture. Experience with specific technologies such as Kubernetes, TensorFlow, and data pipelines is essential. Leadership experience and the ability to drive cross-functional collaboration are also critical for success in this role.

This role is located in a vibrant tech hub conducive to innovation and creativity. Competitive salary packages and benefits will be offered, including flexible working hours and professional development opportunities, emphasizing the company's commitment to fostering growth and learning among its employees.