Technical Lead for Cloud-Native Machine Learning Solutions

5 days ago


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

Xebia is a renowned digital solutions developer with nearly two decades of experience in creating innovative projects for clients worldwide. Our expertise spans multiple industries, and we've had the privilege of working with prominent brands like UPS, McLaren, Aviva, Deloitte, and many more.

We're passionate about cloud-based solutions and have established partnerships with leading cloud providers Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). This collaboration has enabled us to become the first AWS Premier Consulting Partner in Poland.

Job Description

As a Technical Lead for Cloud-Native Machine Learning Solutions, you will be part of our team responsible for developing and deploying cutting-edge machine learning systems into production. Your primary focus will be on designing and implementing scalable, efficient, automated processes for data analysis, model development, validation, and implementation.

You will work closely with data scientists and analysts to create and deploy new product features on the e-commerce website, in-store portals, and clients' mobile apps. Your role will involve writing efficient and scalable software to ship products in an iterative, continual-release environment.

In addition, you will contribute to and promote good software engineering practices across the team and build cloud-native software for ML pipelines. You will also contribute to and reuse community best practices.

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
  • Training budget
  • Private healthcare
  • Multisport
  • Integration events
  • International projects
  • Mental health support
  • Referral program
  • Modern office
  • Canteen
  • Free snacks
  • Free beverages
  • Free tea and coffee
  • No dress code
  • Playroom
  • In-house trainings
  • In-house hack days


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