MLOps Engineer

1 dzień temu


Sucha Wrocław, Polska Xebia Pełny etat

Xebia Overview

We are Xebia, a leading technology consulting firm specializing in software development, data science, and artificial intelligence. Our team is passionate about helping clients succeed in the digital age.

About the Job

We are seeking an experienced MLOps Engineer - Data Science and AI Solutions to join our team. As an MLOps Engineer, you will play a key role in developing and deploying machine learning systems into production. You will work closely with our data science team to establish scalable, efficient, automated processes for data analysis, model development, validation, and implementation.

Key Responsibilities

  • Collaborate with data scientists and analysts to create and deploy new product features on e-commerce websites, in-store portals, and clients' mobile apps.
  • Design and implement efficient and scalable software to ship products in an iterative, continual-release environment.
  • Contribute to good software engineering practices across the team and build cloud-native software for ML pipelines.
  • Stay up-to-date with industry trends and best practices in MLOps and contribute to our knowledge sharing initiatives.

Requirements

  • 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.
  • Proficiency in Python and expertise in standard software engineering methodology, including unit testing, test automation, continuous integration, code reviews, design documentation.
  • Experience working with VertexAI, BigQuery, and Dataproc.
  • Excellent verbal and written communication skills in English.

Preferred Qualifications

  • 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.

Benefits

  • Development budgets to support your growth and professional development.
  • Funding for certifications such as AWS and Azure.
  • Access to Udemy, O'Reilly, and other online learning platforms.
  • Events and technology conferences.
  • Internal training and Xebia Upskill programs.
  • Private medical healthcare.
  • MultiSport card with subsidization.
  • Mental Health Support.

What We Offer

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

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