MLOps Engineer
We have recently embarked on a transformative journey in the realm of advanced analytics, venturing into untapped territories across consumer engagement, supply chain, merchandising, and manufacturing domains. Our focus is on cultivating in-house expertise in areas such as personalization & recommendation, forecasting models, and trend analysis, aiming to elevate our innovation and customer satisfaction to unprecedented heights.
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. Your contribution will be pivotal in enabling and automating data-driven decision-making processes, utilizing cutting-edge techniques and ensuring the seamless integration of machine learning models into our operational workflows.
Responsibilities
- Design, implement and maintain 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
Qualifications
- 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
Our Pandora Values:
We dream, are visionary and go beyond the obvious.
We dare to pursue bold ambitions with courage and speed.
We care deeply about each other, our customers and the planet we all share. Every day we strive to be a fulfilling workplace, where each of us can thrive and contribute, where talents can grow, and
we deliver on our promises to colleagues, customers, partners and stakeholders.
We are focused on building a diverse and inclusive workforce. If you’re excited about this role, but do not meet 100% of the qualifications listed above, we encourage you to apply. In compliance with the Colorado Equal Pay for Equal Work Act.
Did we get your attention?
We hope you got all your questions answered and feel confident applying for this position, however if you have more questions regarding the position, please contact:
Joe McBrien, TA Specialist, Global Office @jomcb@pandora.net
If you see yourself in the position and would like to become a part of Pandora’s future, please do not hesitate to apply. We look forward to hearing from you!
We process applications on a continuous basis, which is why we encourage you to send your application as soon as possible. You can also read more about Pandora on our corporate site www.pandoragroup.com.
Icing on the cake:
You will be working out of our beautiful Head Office in Copenhagen V, established in 2016 and designed to unite and inspire our teams. Besides our beautiful interior design we are also proud of our LEED Gold Certification for Energy and Environmental Design. This means that we use as few natural resources as possible and that we use them with respect. The result is a professional and dynamic space that is unique, comfortable and inspirational – and delivers a true Pandora experience to anyone who works here or comes to visit.
About Pandora
Established in 1982, Pandora designs, manufactures and markets hand-finished jewellery made from high-quality materials at affordable prices. Pandora’s products are available in more than 100 countries on six continents through more than 6,500 points of sale, including around 2,500 concept stores.
Headquartered in Copenhagen, Denmark, Pandora employs 32,000 people worldwide and crafts its jewellery 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 2023.
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.