Machine Learning Engineering Manager

Data Science & AI Tilføjet 8. juni, 2021 KøbenhavnPandora

Do you want to help deliver AI at scale for the world’s largest jewellery brand? Do you have experience with building and scaling Data & Analytics products across the value chain? And do you know what it takes to productionize ML models, grow a team of ML Engineers and deliver business outcomes through Advanced Analytics? Then we have a job for you.

Få nye datajob på email

Vil du være den første til at få besked om nye datajob, som den du ser på lige nu? Så tilmeld jobagenten og modtag relevante datajob fra i morgen.

Job description
We’re on a mission to turn data into business value and are now looking for an experienced Machine Learning Engineering Manager to help drive the future of our team and scale our Data & Analytics Center of Excellence to the next level. The ideal candidate will have solid experience in building and scaling enterprise level ML applications, improve speed-to-production and secure scalability and robustness of systems and pipelines. In addition to a solid technical background our future Manager will come with extensive experience building and leading software development and engineering teams.

In this role your key accountabilities will be to:

  •  Lead deployment and scaling of ML models across the value chain by working closely with product management teams to ensure product deliverables, timelines and KPIs are met.
  • Serve and partner with stakeholders as senior SME on ML technology at scale.
  • Provide guidance and oversight for engineering teams to solve complex multi-disciplinary challenges, designing distributed systems and software architectures for scalability, reliability and performance.
  • Accountable and responsible for data & analytics end-to-end.
  • Build and nurture a results-driven team culture to ensure effectiveness of products and teams.
  • Build organizational capabilities by attracting, developing and retaining a team of world-class ML Engineering talent.
  • Collaborate with the Data Science team and the wider Digital and Technology organization to evolve the data architecture to support better integration, deployment and platform tools to support ML Engineering.
  • Improve velocity and delivery through best-practice engineering and agile methodology.
  • Implement agile software development principles, DevOps and MLOps.
  • Develop architectural standards together with the wider engineering and technology community.

What is needed to succeed

  • An advanced degree in engineering, computer science, software development or similar.
  • Excellent written and oral communication skills with an ability to explain complex engineering concepts to stakeholders in other engineering and analytics teams, product management etc.
  • 5+ years of professional software engineering and machine learning experience, 2+ years of experience in building and managing software engineering teams responsible for delivering, scaling and productionizing data and analytics products.
  • Track record of recruiting and retaining software engineering and data and analytics talent.
  • Experience in developing and delivering data and analytics products through POC, MVP through to production and maintenance, working closely with data science and technology teams.
  • Experience in orchestrating workflows and pipelines using Airflow, Azure Data Factory or other.
  • Experience with MLOps practices for CI/CD/CT and other concepts specific to the ML model lifecycle incl. real-time analytics use cases.
  • Experience with feature engineering for ML and predictive models.
  • Experience working with Azure and or AWS cloud infrastructure, IaC, IaaS and PaaS.
  • Advanced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as Hive/SQL/Spark/Python and analytics PaaS like Databricks and Synapse.
  • Full stack development experience and knowledge in building APIs, microservice, publish-subscribe systems and messaging services e.g. Event Grid, Event Hub, Kafka, Service Bus is an extra bonus.
  • Industry presence and thought leadership through published research, blogging, conferences, meetups, open source contributions.
  • Outcome driven mindset with a solid always-be-shipping mentality .

Something about you

How would you rate yourself on the 4 C’s? We believe that communication, collaboration, critical thinking and creativity are key competences that will help anyone regardless of job function, title or skillset, in becoming a success. If you can see yourself working in a fast-paced entrepreneurial environment with many stakeholders, where your communication and interpersonal skills are needed and your ability to collaborate and innovate as a team is essential, we would love to hear from you.

Your new team
Say hello to the Advanced Analytics team in the Data & Analytics Center of Excellence at Pandora – the world’s largest jewellery brand. We are a group of 19 data-driven professionals who support business units across the full value chain with actionable insights and predictive analytics. We have a data lake, a unified analytics platform and solid communication skills that help us translate data into business value. Your new team consists of a diverse and happy group of analysts, scientists, engineers and product people with a clear mission: We are here to deliver data-driven experiences in all consumer journey touchpoints, develop actionable insights to inform business decisions across supply chain, product, marketing, commerce, finance, HR and more – and have fun while doing it.

  • Tilføjet 8. juni, 2021