MLOps Engineer
Salary 65. 000 - 90. 000 EUR per year
Requirements:
- - Master’s degree or higher in AI, Computer Science, or a related field
- At least four years of experience in building infrastructure to productionize machine learning models, preferably using AWS technologies such as EKS
- Proven track record of scaling development and adoption of machine learning in an organization
- Proficient in Python
- Quality control: commitment to excellence, performance, and efficiency
Responsibilities:
- 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:
- Python
- PyTorch
- TensorFlow
- FastAPI
- Snowflake
- PostgreSQL
- AWS
- Docker
- Kubernetes
- Helm
- Git
- Terraform
More:
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.Bądź pierwszy, który ubiega się o to miejsce pracy!
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