Machine Learning Engineer, Corsearch

• 3+ years of experience as an ML Engineer delivering models into production
• Strong programming skills in Python (production-level)
• Hands-on experience withPyTorch (preferred) or TensorFlow
• Proven experience in model deployment / model serving
• Experience optimizing inference (latency, resource usage, throughput)
• Strong understanding of ML pipelines and automated workflows
• Experience with Docker and containerized ML workloads
• Ability to demonstrate measurable impact (e.g., uplift, precision improvements, latency reduction, stability gains)
• Fluent spoken and written English
• Located within a time zone aligned with CET (CET −2 to CET +4)

Desirable

• We are looking for an ML Engineer with hands-on experience bringing models into production environments
• Your work will directly impact a major enterprise client, ensuring that our ML systems are fast, stable, and reliable
• You will own the lifecycle end-to-end:
• Data → training → evaluation → deployment → monitoring
• This is not a research-only role — it is a highly technical engineering position focused on delivering robust ML solutions at scale
• Build and maintain ML models for large-scale detection, classification, and automation tasks
• Optimize inference performance (latency, throughput, memory)
• Develop and maintain end-to-end ML pipelines: data processing, training, validation, deployment, monitoring
• Integrate ML components into microservice-based architecture
• Work closely with engineering teams to ensure reliability and performance in production
• Improve tooling for model versioning, testing, and CI/CD

• We usually respond within three days