Machine Learning Infrastructure Engineer
13 hours ago
Pandora is a global leader in designing, manufacturing, and marketing high-quality hand-finished jewelry at affordable prices. With over 32,000 employees worldwide, Pandora has established itself as a brand with a strong presence in more than 100 countries.
The company's commitment to sustainability is reflected in its LEED-certified facilities in Thailand, where it crafts its jewelry using mainly recycled silver and gold. Pandora aims to be carbon neutral by 2030 and has joined the Science Based Targets initiative to reduce emissions across its full value chain.
Job DescriptionWe are seeking a highly skilled Machine Learning Infrastructure Engineer to join our team. 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.
Key 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
The estimated salary for this position is around $120,000 - $180,000 per year, depending on experience and location.
Required Skills and QualificationsTo succeed in this role, you will need:
- Experience building end-to-end systems as a Platform Engineer or 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.)
- Experience building custom integrations between cloud-based systems using APIs
- Experience developing with containerization (e.g., Docker) and orchestration Kubernetes in cloud computing environments
- Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.)
Pandora offers a competitive compensation package, including:
- A comprehensive benefits program
- Opportunities for professional growth and development
- A collaborative and dynamic work environment
Pandora is a global leader in the jewelry industry, with a strong presence in over 100 countries. We are committed to creating an inclusive and diverse workplace, reflecting societal diversity in our customer engagement. Our goal is to deliver on our company purpose: to give a voice to people's loves.
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