ML Engineer (Production-focused)

At Corsearch, we are dedicated to creating a world where consumers can trust the choices they make.

As a global leader in Trademark and Brand Protection, we partner with businesses to safeguard their most valuable assets in an increasingly complex digital environment.

Our comprehensive solutions, powered by AI-driven data and deep analytics, enable brands to establish, monitor, and protect their presence against infringement and counterfeiting.

Why Choose Corsearch?

• Innovative Solutions : We combine cutting-edge technology with expert judgment to deliver market-leading services in trademark clearance, brand protection, and anti-counterfeiting.
• Global Impact : Trusted by over 5,000 customers worldwide, including 73 of Fortune's Top 100 companies, our work has a meaningful impact on businesses and consumers alike.
• Collaborative Culture : With a team of over 1,900 professionals across multiple global offices, you'll be joining an inclusive environment where diverse perspectives thrive.
• Mission-Driven Purpose : Our commitment to protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world.

✅The Role

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.

✅Responsibilities and Duties

• 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

✅ Required Skills
These are must-haves. If you don't meet them, this role will not be a good match.

• 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.

✅ Why You’ll Love Working Here

• In this role, you’ll have clear ownership and real autonomy: you’ll shape technical solutions, make architectural decisions, and drive best practices across the team.
• You’ll work on production ML systems used globally by major brands, solving complex engineering problems at scale.
• You’ll join a mature, collaborative engineering culture with strong ML expertise, and your work will directly impact the performance and reliability of enterprise-critical systems.

Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. We are committed to creating a diverse and inclusive workplace where all employees feel valued, respected, and supported. We welcome applications from all individuals regardless of race, nationality, religion, gender, gender identity or expression, sexual orientation, age, disability, or any other protected characteristic. Together, we are working proactively to build a workplace where everyone can belong and be at their best selves. Together, we make an Impact.