Vacature: Picnic in Amsterdam zoekt een MLOps Engineer | Fulltime | Sluitingsdatum: onbekend.
At Picnic, we’re revolutionizing the way people buy groceries with our affordable and sustainable app-only service. We do almost everything in-house, developing cutting-edge technologies and processes to ensure we continue to grow rapidly without missing a beat. If you’re a passionate MLOps Engineer, we’re offering you the opportunity to join the diverse team at our Amsterdam HQ and make a real difference in our data-driven, scale-up environment.
🥜 In a nutshell
As a MLOps Engineer at Picnic, you’ll work on building the tools and infrastructure to help our data scientists quickly build and productionize robust machine learning models.
Working closely with data scientists and analysts, you’ll identify opportunities to improve the machine learning lifecycle at Picnic. From tools that improve model experimentation, to automations that simplify model deployment. You will collaborate with other platform teams at Picnic to make sure our tech stack remains aligned with the rest of the Tech team, while building and integrating the solutions that solve the problems unique to machine learning systems.
Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning
🎯 What you’ll do
Various MLOps-oriented projects to:
- Automate machine learning model retraining and deployment
- Set up infrastructure for model inference, supporting deployment strategies like A/B testing and shadow testing.
- Improve monitoring in order to exercise operational excellence for our machine learning models.
- Simplify and standardize usage of tools by developing and inner-sourcing Python packages
Your contributions to the platform will power:
Recommendation systems: generating useful in-app grocery suggestions for our customers- LLMs: automate systems to categorize and resolve Customer Success tickets
- Outlier detection: low-latency decision support systems to prevent fraud
- Time-series forecasting: improving the operational efficiency throughout our supply chain, from our automated fulfilment center to our last mile delivery.
You will definitely:
- Work closely with ML engineers to identify opportunities, define use cases, and scope out the requirements
- Own your own project from inception to production
- Develop tools and enhancements for our ML Platform
💻 Technologies we use
- Python (PyTorch, Tensorflow, MLflow, Feast, FastAPI – or we build our own packages)
- SQL (Snowflake, Postgres)
- AWS, Docker, Kubernetes, Helm
- Git
- Terraform
⭐️ About you
- Master’s degree or higher in AI, Computer Science, or a related field
- At least four years of experience in productionizing machine learning models, preferably using Docker and Kubernetes
- Proven track record of scaling development and adoption of machine learning in an organization
- Strong Python skills
- Comfortable with taking responsibility, showing initiative, and working independently
- Ability to think outside the box and an anything-is-possible mindset
- Quality control: commitment to excellence, performance, and efficiency
- ..and for bonus points: you have experience with Terraform
📖 Picnic Perks
Every expert was once a beginner!
Make a difference
Teamwork makes the dream work
You are what you eat
Stay healthy
Attractive package
Benefits for expats
It can be daunting starting a new job AND moving to a new country. That’s why we offer lots of support for our many expat colleagues, including:
Commitment to equal opportunities
Picnic is an equal opportunity employer—this means that all decisions regarding applications will be based on qualifications and merit. Applicants will be regarded independently of age, gender identity or expression, sexual orientation, ethnicity, skin color, civil status, religious beliefs, physical or mental disability, or any other factors protected by law.
At Picnic, we celebrate and value our differences and are committed to building a safe and inclusive working environment where everyone can be themselves.
Solliciteer hier en lees meer over de vacature.
of bekijk hier meer AI-vacatures.
