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Data Engineering Specialist

1 week ago

Copenhagen, Copenhagen, Denmark Pandora AS Full time

Pandora A/S, a world-renowned jewelry brand, is seeking a talented Data Engineering Specialist to join its dynamic team. As a pioneer in affordable luxury and innovative design, the company is dedicated to providing exceptional shopping experiences through data-driven insights and cutting-edge technology.

The ideal candidate will play a critical role in deploying, monitoring, and optimizing machine learning models in production environments. With a strong background in infrastructure as code, programming languages such as Python, and experience with ML frameworks like TensorFlow or PyTorch, this expert will bridge the gap between the AI Team and the Data Platform engineers. By designing and implementing robust MLOps pipelines, automating model training and deployment processes, and monitoring the performance of ML systems, including those for Generative AI, this specialist will drive the operational efficiency of Pandora's AI and machine learning initiatives.

Key Responsibilities:

  • Design, develop, and maintain 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.
  • Ensure 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 deterministic pipelines.
  • 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 passion for continuous learning and innovation.