Youll be joining a world-renowned product company, working on cutting-edge solutions used by millions around the world. The project operates in a truly international environment.
This is a great opportunity for someone looking to grow: both technically and professionally. Youll collaborate with highly experienced specialists who value quality, knowledge sharing, and continuous improvement. The bar is set high, but that’s exactly what makes this an inspiring and rewarding place to be.
What makes this project stand out is the real impact you’ll have. Your ideas matter, and your voice will be heard. It’s a setup that fosters innovation and creates impact on a global scale.
responsibilities :
Build and maintain robust, high-performance ML infrastructure capable of supporting real-time operations at scale.
Continuously evaluate and improve ML serving systems to ensure maximum reliability and uptime.
Investigate and adopt new technologies and approaches in machine learning deployment and serving.
Create experimental prototypes and proof-of-concept architectures to test innovative ML solutions.
Work closely with cross-functional teams, including ML engineers, MLOps, and platform teams, to deliver effective solutions.
Support and mentor less-experienced engineers, sharing knowledge and best practices.
Thrive in a dynamic environment, quickly diagnosing issues and implementing reliable solutions.
requirements-expected :
5+ years of professional experience in the area of Machine Learning.
Experience in machine learning, data mining, and analytics, with strong conceptual and problem-solving skills.
Familiarity with CI/CD processes and ETL workflows.
Experience with big data tools, and widely used ML libraries and frameworks (such as MapReduce, Spark, Flink, TensorFlow, PyTorch, or Spark ML).
Proven experience building and maintaining high-performance distributed systems optimized for low latency and high throughput.
Designing and deploying machine learning serving systems, including system architecture, real-time monitoring and alerting, and distributed caching solutions (such as Redis or Aerospike).
Experience with testing and deployment strategies (such as A/B testing, canary releases, and blue-green deployments).
Experience working with Kafka, Docker or Kubernetes.
Extensive programming experience in Python, Go, or other OOP languages.
Master’s degree/PhD in a technical field.
Good understanding of algorithms, data structures, and software engineering best practices.
Strong collaboration and communication skills.
offered :
Stable employment based on an employment contract (umowa o pracę).
A hybrid work setup in the heart of Warsaw, we meet in the office 3 days a week to collaborate and connect.
Access to a benefits platform tailored to your lifestyle and needs (Multisport, Private Medical Care).
Daily collaboration with a diverse, international team.
Flexibility to explore different projects over time, we support growth and change.
Regular team-building activities and integration initiatives to keep the vibe strong.
All the tools you need, we’ll provide both hardware and software.
