Work closely with multi-functional teams of skilled engineers, data scientists, and product managers who are all passionate about crafting a world-class experience for all Conrad users
Take ownership of implementing, testing, and delivering impactful ML products for performance, reliability, time, and cost using Agile methodologies
Manage & monitor the ML products performance in production (in GCP)
Contribute to accelerating the impact of ML at Conrad through AI tools and infrastructure
Upholding and promotion of best practices in code design, quality, and efficiency to enhance existing machine learning infrastructure
requirements-expected :
Background in computer science, preferably an M.S. degree
3+ years of practical experience as a Machine Learning Engineer or a related role
Experience with CI/CD in ML context, MLOps
Good understanding of Machine Learning algorithms, Deep Learning, and software engineering fundamentals
Deep understanding of Python and its ecosystem, especially frameworks oriented to data science and Machine Learning such as NumPy, Scipy, Polars, Scikit-learn.
Experience with one cloud provider such as GCP (preferred), AWS, Azure
Experience with one or more container-ecosystems (Docker, Kubernetes)
Experience working with REST frameworks (Flask, FastAPI …)
Good understanding of distributed run-time systems, their performance optimization, and improving their resilience
Fluent in spoken and written English, good communication skills
benefits :
sharing the costs of sports activities
private medical care
fruits
corporate products and services at discounted prices
