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Hi, were glad youre here! ?

About ITHOUSE: for over 7 years we’ve been connecting IT specialists with projects that truly matter: the kind that shape how people in Poland use technology every day. We work with both public institutions and commercial companies, helping modernize systems used by millions. Thanks to the teams we build, fewer tasks require running around with paperwork, and more processes become simple, fast, and accessible. But that’s not all, we also take on ambitious R&D projects, including for companies, where technology meets AI and real innovation. We always try to match the project to the person, to your experience, preferences, and what genuinely motivates you. If you want to do meaningful work and see real impact, there’s a good chance you’ll feel at home here. In our recruitment process, we focus on partnership, transparency, and mutual respect. For us, recruitment isn’t just a procedure. It’s a conversation about what matters to you and where you can grow.

? Project

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.

Requirements

• 3+ years of experience in machine learning engineering, data engineering, or ML infrastructure roles.
• Degree in Computer Science, Data Science, or a related technical field.
• Strong programming skills in Python (OOP, algorithms, data structures); familiarity with other OOP languages (e.g., Go) is a plus.
• Hands‑on experience with core ML libraries and frameworks (TensorFlow, PyTorch, Pandas, Scikit‑Learn) and tools for model management (model registry, OpenMetadata).
• Solid knowledge of SQL and experience working with analytical or relational databases (Snowflake is a plus).
• Practical experience building and maintaining large‑scale data or ML pipelines, including ETL processes and orchestration (Airflow, PySpark/Snowpark).
• Experience with CI/CD pipelines, Infrastructure as Code (Terraform), and strong software engineering fundamentals including version control (Git).

Nice To Have

• Experience with large‑scale data processing frameworks (MapReduce, Spark, Flink, Kafka).
• Experience with containerized and cloud environments (Docker, Kubernetes, AWS Step Functions/Lambda, AWS SageMaker).
• Knowledge of real‑time systems and distributed caches (Redis, Aerospike) or experience with the RTB/ad tech ecosystem.

What You Will Do

• Design and build a modern ML platform capable of running large volumes of training pipelines in parallel and supporting high‑scale batch prediction workloads.
• Develop reliable, scalable, and performance‑optimised data and model pipelines using Python and ML libraries such as TensorFlow, PyTorch, scikit‑learn, and Pandas.
• Enhance model evaluation workflows, including monitoring generalisation, identifying performance degradation, detecting bias issues, and ensuring overall model robustness.
• Automate ML lifecycle processes with CI/CD (GitHub Actions), orchestration tools like Airflow or AWS Step Functions, and containerised environments using Docker and Kubernetes.
• Prototype new tools and frameworks related to ML metadata management, model registries, feature stores, or large‑scale pipeline orchestration.
• Collaborate closely with Data Scientists, ML Serving, and MLOps teams to streamline development workflows, improve reliability, and maintain high engineering standards.
• Contribute to architectural decisions and support the growth of the team through mentoring and technical guidance.

What We Offer

• 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

Apply and let us get to know you, talk soon! ☀