Machine Learning Software Engineer (MLOps)

Location: Ramat Gan, Israel; hybrid workplace

Company

hirify.global develops technologies that improve driving safety and enable semi-autonomous and fully autonomous vehicles.

What you will do

• Develop production deployment systems for classical and machine learning algorithms originating from research.
• Build robust, scalable inference pipelines and production capabilities.
• Develop primarily with Python and infrastructure tools such as Kubernetes and Docker.
• Maintain existing deployment systems while creating new deployment solutions.
• Implement emerging deployment technologies, MLOps practices, and inference optimization techniques.

Requirements

• B.Sc. in Computer Science, Software Engineering, or a related technical field.
• Strong problem-solving skills and the ability to address complex, real-world production challenges.
• Experience with Python, containerization, and orchestration technologies such as Docker and Kubernetes.
• Experience with model-serving frameworks and inference optimization.
• Background in distributed systems.

Culture & Benefits

• Fast-paced R&D environment focused on machine learning algorithms and production deployment.
• Exposure to current engineering practices across the machine learning community.
• Work involving emerging solutions in computer vision and NLP.
• Hybrid work arrangement in Ramat Gan, Israel.