<aside>
📬
</aside>
Engineering Manager (AI/Machine Learning)
About Us
At Hyperscale, we are pioneering innovative AI-driven technologies that are transforming industries. By leveraging machine learning and advanced data processing, we aim to deliver scalable, intelligent solutions that create value for businesses and individuals alike.
We are looking for an Engineering Manager who can lead a dynamic team of engineers to develop AI and machine learning products, drive architectural decisions, and oversee complex technical projects from conception through execution.
What You’ll Do
- Lead and mentor a team of engineers working on AI-driven products and services.
- Own the technical vision and architecture for AI/ML systems, ensuring scalability, reliability, and performance.
- Provide hands-on leadership to solve challenging problems in machine learning, data pipelines, and cloud infrastructure.
- Coordinate and drive the execution of AI/ML product roadmaps in collaboration with product managers and stakeholders.
- Promote a culture of continuous learning, experimentation, and excellence within the engineering team.
- Establish processes for code reviews, testing, and deployment to ensure best practices and high-quality software.
- Develop strategies for improving engineering productivity, including automation and process optimizations.
Skills We’re Looking For
- Proven experience managing high-performance engineering teams, especially in AI/ML domains.
- Strong hands-on experience in software development, including expertise in Python, TensorFlow, PyTorch, and other ML frameworks.
- Deep understanding of cloud technologies and infrastructure (AWS, GCP, Azure).
- Experience in building and deploying AI/ML models at scale, with a focus on performance optimization.
- Excellent leadership and communication skills, capable of managing cross-functional teams.