![Xebia sp. z o.o.](https://media.trabajo.org/img/noimg.jpg)
Data Engineering Leader for Cloud-Native Machine Learning
9 hours ago
Xebia sp. z o.o. is a dynamic and innovative company that specializes in developing digital solutions for clients from various industries.
We are passionate about cloud-based solutions and have partnerships with top cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).
Job Description:- As a Data Engineering Leader for Cloud-Native Machine Learning, you will be responsible for leading the development and deployment of machine learning systems into production.
- You will work closely with data scientists and analysts to create and deploy new product features on our e-commerce website, in-store portals, and clients' mobile apps.
- Your main goal will be to establish scalable, efficient, automated processes for data analysis, model development, validation, and implementation.
- You hold a degree in engineering, computer science, mathematics, or a related field.
- You have at least 10 years of experience as a data engineer or software developer.
- You have 3+ years of experience developing and deploying machine learning systems into production.
- You are proficient in Python and have expertise in standard software engineering methodology.
- You have knowledge of cloud-native software development and experience working with Docker, Kubernetes, and GitHub Actions.
- You are familiar with machine and deep learning libraries such as Scikit-learn, XGBoost, MXNet, TensorFlow, or PyTorch.
- You have exposure to GenAI and solid understanding of multimodal AI via HuggingFace, Llama, VertexAI, AWS Bedrock, or GPT.
- We offer a training budget, private healthcare, and multisport benefits.
- You will have the opportunity to work on international projects and attend integration events.
- We prioritize mental health support and have a referral program in place.
- Our office is modern, with a canteen, free snacks, beverages, tea, and coffee available.
- We have a no-dress-code policy and a playroom for relaxation.
- Additionally, you can participate in in-house trainings and hack days.
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