Cloud Native Machine Learning Engineer

6 hours ago


Remote Wrocław Gdańsk Rzeszów, Czech Republic Xebia sp. z o.o. Full time

Xebia sp. z o.o. is a leading technology consulting company with a passion for cloud-based solutions.

Our team of experts has developed digital solutions for clients across various industries, including UPS, McLaren, Aviva, and Deloitte.

We are proud to be the first AWS Premier Consulting Partner in Poland and have partnerships with Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Our mission is to become the authority in our field of expertise, and we achieve this by emphasizing every team member's development and promoting good software engineering practices.

As a Cloud Native Machine Learning Engineer at Xebia, you will work closely with data scientists and analysts to create and deploy new product features on e-commerce websites, in-store portals, and clients' mobile apps.

You will establish scalable, efficient, automated processes for data analysis, model development, validation, and implementation.

Key responsibilities include writing efficient and scalable software to ship products in an iterative, continual-release environment.

You will contribute to and promote good software engineering practices across the team and build cloud-native software for ML pipelines.

Required Skills and Qualifications
  • University degree or advanced degree in engineering, computer science, mathematics, or a related field
  • 10+ years of experience as a data engineer or software developer
  • 3+ years of experience developing and deploying machine learning systems into production
  • Proficiency in Python
  • Experience with at least one Cloud provider (AWS, GCP, Azure) and understanding of serverless code development
  • Working experience with native ML orchestration systems such as Kubeflow, Step Functions, MLflow, Airflow, TFX
  • Relevant working experience with Docker, Kubernetes and GitHub Actions
  • 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
  • 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
  • Very good verbal and written communication skills in English
Benefits
  • Work from the European Union region and a work permit are required


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