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ML Engineer (Production-focused)

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Corsearch

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Location:
France , Paris

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 3+ years of experience as an ML Engineer delivering models into production
  • Strong programming skills in Python (production-level)
  • Hands-on experience with PyTorch (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)

Nice to have:

  • Experience with AWS (SageMaker, EKS, Lambda, S3)
  • Familiarity with SageMaker
  • Exposure to high-throughput or high-load systems
  • Experience with CI/CD for ML

Additional Information:

Job Posted:
December 27, 2025

Work Type:
Hybrid work
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