Objectives of this role
- Design, implement, and deploy machine learning models.
- Collaborate with data scientists to transform prototypes into production-ready systems.
- Manage and automate the end-to-end machine learning lifecycle.
- Implement continuous integration and continuous deployment (CI/CD) pipelines specifically tailored for ML workflows.
- Monitor the performance of deployed models in real-time, handle model drift, and implement retraining strategies.
- Ensure reproducibility, traceability, and versioning for ML models and datasets.
- Optimize ML infrastructure for performance, scalability, and cost.
- Stay updated with the latest trends and tools in machine learning and MLOps
Requirements
- Strong programming skills, preferably in Python
- Familiarity with ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with data processing tools and libraries (eg, Pandas, Scikit-learn)
- Familiarity with CI/CD tools such as Jenkins, GitLab CI, or similar
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes
- Knowledge of ML model versioning and management tools like MLflow or DVC
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their ML deployment services.
- Strong problem-solving skills and the ability to work in a collaborative team environment.
Required skills and qualifications.
- Previous experience in a machine learning or data science role
- Knowledge of advanced monitoring and logging tools tailored for ML models.
- Certification or training in MLOps, machine learning, or related fields
- Background in software development or software engineering
- Familiarity with CRM & ERP systems and their data structures
- Strong understanding of the latest machine learning trends and techniques
What's great in the job?
- Great team of smart people, in a friendly and open culture
- No dumb managers, no stupid tools to use, no rigid working hours
- No waste of time in enterprise processes, real responsibilities and autonomy
- Expand your knowledge of various business industries
- Create content that will help our users on a daily basis
- Real responsibilities and challenges in a fast evolving company
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Perks
A full-time position
Attractive salary package.
Trainings
12 days / year, including
6 of your choice.
Sport Activity
Play any sport with colleagues,
the bill is covered.
Eat & Drink
Fruit, coffee and
snacks provided.
