to support our team in the development of innovative applications for
sensor integration
.
Responsibilities:
AI methodologies to solve engineering challenges related to sensor systems
Develop end-to-end AI solutions, including data preparation, modeling, and deployment
Script and automate workflows in
CATIA
Prepare and structure data (CAD and system information) for AI models
Conduct documentation and reporting of developed solutions
Requirements:
Degree in engineering, mathematics, computer science, or a related field
5+ years of professional experience
in AI/ML software and data engineering roles
Expertise in AI/ML methodologies, including machine learning and deep learning (e.g., TensorFlow, PyTorch, application of pretrained networks)
High proficiency in
Python
Affinity for engineering challenges in
sensor systems and autonomous driving
Independent, organized, and structured work style
Excellent written and spoken
English
Ability to work effectively within a team and strong communication skills
Practical experience in
computer vision or generative AI
is advantageous
Skills:
Strong knowledge of
Python-based AI/ML development
Experience with
data preprocessing, feature engineering, and model evaluation
Familiarity with
CAD data handling
and CATIA scripting
Understanding of
sensor data pipelines
(e.g., camera, radar, LiDAR, IMU)
Experience with
model deployment workflows
and MLOps fundamentals
Ability to work with
structured and unstructured data
Strong analytical, problem-solving, and debugging skills
Experience with
version control systems
(e.g., Git)
* Knowledge of
software engineering best practices
(modular design, documentation, testing)
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