Machine Learning Infrastructure Engineer

2 weeks ago

Copenhagen, Copenhagen, Denmark Pandora Full time
MLOps Engineer Job Description

We are seeking an experienced MLOps Engineer to join our team at Pandora. As an MLOps Engineer, you will play a crucial role in designing, developing, and maintaining the infrastructure and platform essential for scaling our machine learning systems efficiently from experimentation to production.


Key Responsibilities:



  • Design and implement the ML platform and infrastructure required for ML systems to scale
  • Facilitate an efficient ML route to live from experiment to production
  • Develop and deploy scalable tools and services to handle machine learning training and inference
  • Identify and evaluate new technologies to improve performance, maintainability, and reliability of ML systems
  • Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.
  • Support model development, with an emphasis on auditability, versioning, and data security
  • Communicate with product team and data scientists and machine learning engineers to build requirements and track progress

Requirements:



  • Experience building end-to-end systems as a Platform Engineer, DevOps Engineer
  • Strong software engineering skills in complex, multi-language systems
  • Fluency in Python
  • Experience working with Infrastructure as Code, e.g. Terraform
  • Experience working with cloud computing and database systems (SQL, no-SQL, distributed systems, data lakes, etc) such as Databricks
  • Experience building custom integrations between cloud-based systems using APIs
  • Experience developing with containerisation (e.g Docker) and orchestration Kubernetes in cloud computing environments
  • Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
  • Ability to translate business needs to technical requirements
  • Strong understanding of software testing, benchmarking, and continuous integration
  • Experience in infrastructure, data and model monitoring & alerting (e.g. tools like NewRelic, Prometheus, Grafana, ELK Stack)
  • Exposure and understanding of FinOps best practices for the public cloud
  • Exposure to machine learning methodology and best practices

Preferred but not must have:



  • Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)

Education & Experience:



  • 2–5 years experience building production-quality software.
  • Bachelors or Masters degree and/or equivalent professional experience

About Pandora:


Pandora is a leading designer and manufacturer of hand-finished jewelry made from high-quality materials at affordable prices. Our products are available in over 100 countries on six continents through more than 6,000 points of sale, including around 2,000 concept stores.


Headquartered in Copenhagen, Denmark, Pandora employs 32,000 people worldwide and crafts its jewelry at two LEED-certified facilities in Thailand, using mainly recycled silver and gold. The company plans to be carbon neutral by 2025 and has joined the Science Based Targets initiative to reduce emissions across its full value chain.


Pandora is listed on the Nasdaq Copenhagen stock exchange and generated a revenue of DKK 28.1 billion in 2020.


At Pandora, we believe that creating an inclusive and diverse workplace and reflecting societal diversity in our customer engagement is essential to delivering on our company purpose: to give a voice to people's loves. We dedicate ourselves to fostering, cultivating and preserving a culture of inclusion and diversity where everyone feels respected and valued.

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