👉 ML Engineer

🟣You will be:

• working with data scientists and analysts to create and deploy new product features on the e-commerce website, in-store portals, and clients’ mobile apps,
• establishing scalable, efficient, automated processes for data analysis, model development, validation, and implementation,
• writing efficient and scalable software to ship products in an iterative, continual-release environment,
• contributing to and promoting good software engineering practices across the team and building cloud-native software for ML pipelines,
• contributing to and reusing community best practices,
• developing, training and deploying machine learning models,
• building a real-time Fraud Analytics systems.

🟣 Your profile:

• 4+ years of experience developing and deploying machine learning systems into production,
• 8+ years of experience as a data engineer or software developer,
• strong programming skills like Python,
• experience with Spark Cluster, Airflow, Azure DevOps, CI/CD pipelines, and containerization,
• experience in Spark3+, MLFlow, containerization and Python, Scikit-learn, Pandas, NumPy,
• hands-on experience with Affinity with Advanced Analytics, Data Science, NLP,
• deep understanding of batch and streaming data (S3, Spark, Kafka, Flink),
• experience in building complex ETL,
• expertise in SQL and noSQL,
• good understanding of RDBMS, non-SQL and time-series databases,
• experience with Google Cloud Platform (GCP) and managed GCP services (GKE, GCS, BQ, Dataproc, Dataflow),
• deep knowledge of public Cloud Analytics,
• monitoring, observability, logging, alerting,
• very good verbal and written communication skills in English.

Work from the European Union region and a work permit are required.

🟣 Nice to have:

• experience with Go, Java or Scala,
• expertise in managed Azure or AWS services,
• experience in Kubernetes.

🟣 Recruitment Process:

CV review – HR Call – Tech Interview – Client Interview – Decision



🎁 Benefits 🎁

✍ Development:

• development budgets of up to 6,800 PLN,
• we fund certifications e.g.: AWS, Azure,
• access to Udemy, O'Reilly (formerly Safari Books Online) and more,
• events and technology conferences,
• technology Guilds,
• internal training,
• Xebia Upskill.

🩺 We take care of your health:

• private medical healthcare,
• multiSport card - we subsidise a MultiSport card,
• mental Health Support.

🤸‍♂️ We are flexible:

• B2B or employment contract,
• contract for an indefinite period.