Senior Machine Learning Engineer

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SeniorOn-siteFull-time

#437460·Dodano miesiąc temu·1

Źródło: LinkGroup

Tech Stack / Keywords

LinkGroup is a global technology organisation developing data-driven products used by millions of customers worldwide.

Strong hands-on experience in Machine Learning Engineering and Data Engineering, ideally 5+ years building and operating production ML systems.
Experience taking machine learning models or data products from experimentation into production.
Strong Python skills and experience with technologies such as Spark and Databricks.
Experience with ML platforms and tooling such as MLflow.
Practical understanding of production ML systems including pipelines, model serving, monitoring, and observability.
Experience with cloud, platform, or backend technologies such as Kafka, Kubernetes, or Go is advantageous.
Strong statistical literacy and ability to design and interpret experiments and model metrics.
Experience with AI development tools such as Claude Code, Cursor, or GitHub Copilot.
Strong problem-solving and troubleshooting skills.
High level of ownership and pragmatic, delivery-focused mindset.
Ability to work effectively in cross-functional and international environments.
Good product sense connecting technical solutions with business and user outcomes.

Build, maintain, and improve ML infrastructure, repositories, developer tooling, and engineering workflows.
Design and operate data products and machine learning systems from experimentation through to production.
Build robust data pipelines and integrations supporting machine learning and decisioning systems.
Develop scalable AI-powered solutions for content generation, search, and asset retrieval.
Build production-grade pipelines and model-serving layers focusing on reliability, latency, and observability.
Collaborate closely with Data Scientists to turn experimental models into production services.
Establish and improve ML engineering standards, CI/CD practices, and platform solutions, including Databricks and MLflow.
Monitor production systems, data quality, model performance, drift, and latency.
Diagnose issues under real-world load and implement reliable solutions.
Take ownership of systems built and continuously improve based on data and user outcomes.
Collaborate with engineers, data scientists, and product stakeholders across international teams.
Use AI-assisted development tools daily.

Work on large-scale, globally used technology products.
Collaborate with experienced engineers, Data Scientists, and Product professionals across international teams.
Modern technology stack and influence architecture and engineering practices.
End-to-end ownership from problem definition to production operation.
Collaborative, autonomous, product-oriented working environment.
Opportunities to work with AI, machine learning, and data at significant scale.
Access to a modern office in Warsaw with flexible and employee-friendly facilities.

Link Group

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