MLOps Engineer
Amsterdam, Netherlands
Picnic Technologies
Bestelle deine Einkäufe mit der Picnic-App! Günstige Preise ✓ Gratis nach Hause geliefert ✓ Jede Woche neue Rezepte ✓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:
🔥 What challenges await you
Various MLOps-oriented projects to:
- Make sure our machine learning models are reproducible and fair
- Improve monitoring in order to exercise operational excellence
- Simplify and standardize usage of tools by developing and inner-sourcing Python packages
- Automate machine learning model retraining and deployment
Your contributions to the platform will power:
- Recommendation systems: generating useful in-app grocery suggestions for our customers
- Search and suggest
- Fraud and outlier detection
- Predicting delivery drop-off times for our distribution
- Natural Language Processing: create automated systems to categorize and label Customer Success tickets
- Improving operational efficiency in our automated fulfillment center
You will definitely:
- Work closely with data scientists 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 Data Science Platform
👩💻 Technologies you'll use
- Python (PyTorch, Tensorflow, MLflow, FastAPI - or we build our own packages)
- SQL (Snowflake, Postgres)
- Git
- Docker
- Kubernetes
- Helm
- Terraform
👉🏼 Who you are
- Master’s degree or higher in AI, Computer Science, or a related field
- At least three 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!
- You’ll get plenty of opportunities to challenge yourself and grow, including the Picnic Tech Academy, Lunch & Learn sessions, and tailored soft skills training. We also offer free professional weekly language courses.
Make a difference
- You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact.
- Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place!
Teamwork makes the dream work
- With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!
You are what you eat
- You’ll get freshly prepared, healthy lunches and snacks (with plenty of vegetarian, vegan, and halal options). Coffee snob? Don’t worry, our amazing Picnic barista has you covered.
Stay healthy
- Mental health is important. As well as having the option to speak with Picnic colleagues who act as confidential advisors, our collaboration with OpenUp gives you easy access to professional psychologists, along with workshops and materials.
- There are plenty of sports communities and events to get involved with, from tennis to yoga, to climbing!
Attractive package
- We offer competitive compensation and a pension plan that looks out for your future self, as well as 25 vacation days per year, so you can recharge your batteries
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:
- Relocation package: If you join Picnic from abroad, we’ll cover your trip to Amsterdam, sponsor your Visa, and offer you a month of accommodation while you settle in (as long as regulations allow).
- In the Netherlands, we offer support with your first tax report as well as arranging the 30% ruling.
- From health insurance to living arrangements to pet passports, there are always colleagues who’ve faced the same challenges and are more than happy to help!
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Docker FastAPI Git Helm Kubernetes Machine Learning MLFlow ML models MLOps Model deployment NLP PostgreSQL Python PyTorch Snowflake SQL TensorFlow Terraform
Perks/benefits: Career development Competitive pay Health care Insurance Lunch / meals Relocation support Salary bonus Startup environment Team events Yoga
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