Senior MLOps

🟣 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.

🟣 Your profile:

• ability to start immediately, 
• willingness to work daily until 18-19:00 CET, 
• university degree or advanced degree in engineering, computer science, mathematics, or a related field, 
• 3+ years of experience developing and deploying machine learning systems into production, 
• 5+ years of experience as a data engineer or software developer, 
• experience working with VertexAI, BigQuery and Dataproc, 
• proficiency in Python, 
• knowledge of data pipeline and workflow management tools, 
• expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation, 
• working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX, 
• very good verbal and written communication skills in English. 

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

🟣 Nice to have:

• relevant working experience with Docker and Kubernetes,
• experience with Machine and Deep Learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow or PyTorch, 
• exposure to GenAI and solid understanding of multimodal AI via HuggingFace, Llama, VertexAI, AWS Bedrock or GPT. 

🟣 Recruitment Process:

CV review – HR call – 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.