MLOps Data Engineer for Retail Innovation

5 days ago


Copenhagen, Copenhagen, Denmark Pandora AS Full time

Pandora, a leading jewelry brand, seeks a talented MLOps Engineer to join its dynamic team and shape the future of retail.

The ideal candidate will bridge the gap between AI and Data Platform engineers, ensuring seamless ML model integration into scalable systems. In this role, you will design robust MLOps pipelines, automate model training and deployment processes, and monitor ML system performance.

Key Responsibilities:

  • Design end-to-end MLOps pipelines for model deployment, monitoring, maintenance, and scalability.
  • Automate retraining, testing, and validation processes for ML models.
  • Collaborate with cross-functional teams to integrate ML models into production systems.
  • Monitor model performance, diagnose issues, and implement improvements.
  • E nsure scalability, reliability, and compliance of ML systems in production.
  • Optimize infrastructure costs while maintaining high system performance.
  • Stay up-to-date with the latest developments in MLOps, machine learning, and AI, applying new techniques to improve existing models and processes.

Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
  • Experience:
    • Solid experience as a MLOps Engineer, Machine Learning Engineer, DevOps Engineer, or similar role.
    • Experience in the retail industry or e-commerce is highly desirable.
  • Technical Skills:
    • Strong experience with Infrastructure as Code frameworks and languages (Terraform, Bicep or ARM).
    • Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, etc.).
    • Hands-on experience with containerization (Docker) and orchestration tools (Kubernetes).
    • Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or Google Cloud).
    • Knowledge of model monitoring and evaluation metrics.
    • Familiarity with version control systems, such as Git, and model versioning tools like MLflow or DVC.
    • Experience with Generative AI product deployment is desirable.
    • Experience with big data using Databricks, Snowflake, Apache Spark or Hadoop is desirable.
    • System level architecture understanding including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline.
  • Soft Skills:
    • Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.
    • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
    • A proactive attitude and a passion for continuous learning and innovation.

We are focused on building a diverse and inclusive workforce. If you're excited about this role and have the required qualifications, we encourage you to apply. We look forward to hearing from you. You can also read more about Pandora on our corporate site.



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