Data Scientist / ML Engineer
Joining Objectware means becoming part of teams passionate about technology. As a Data Scientist, you will be involved in the entire lifecycle of ML models, from data exploration to the production deployment of AI solutions.
Objectware also means expert communities that support and actively contribute to technology watch and innovation.
Your responsibilities
Your day-to-day as a Data Scientist / ML Engineer
You will be involved throughout the entire lifecycle of AI projects:
- Explore, analyze, and understand complex data (structured and unstructured)
- Design, train, and evaluate Machine Learning / AI models
- Select and optimize algorithms according to business use cases
- Industrialize models (deployment, monitoring, performance)
- Collaborate with Data Engineers, AI Engineers, and business teams
- Participate in the implementation of MLOps best practices
- Contribute to the continuous improvement of solutions and AI innovation
Main activities
We are a great match if you have the following skills:
- Strong skills in statistical modeling and Machine Learning
- Proficiency in SQL and ML / Data Science libraries (Scikit-learn, Pandas, NumPy, TensorFlow, PyTorch)
- Solid knowledge of MLOps (MLflow, CI/CD, Docker, Kubernetes)
Postuler