remote
Ing nieur en Intelligence Artificielle, IQVIA Digital /AI Engineer, IQVIA Digital
AI Engineer
AI Engineer focused on building and deploying machine learning models for media analytics, leveraging Python, deep learning, and NLP to solve real‑world challenges in a collaborative, fast‑paced environment.
About the role
Key Responsibilities
- Design, develop, and production‑grade deploy machine learning models for media analytics and recommendation systems.
- Collaborate with data scientists and AI architects to translate business problems into data‑driven solutions.
- Implement end‑to‑end pipelines, including data ingestion, feature engineering, model training, evaluation, and monitoring.
- Optimize model performance and scalability using cloud services and containerization.
- Document model logic, performance metrics, and best practices for reproducibility.
Requirements
- 2–4 years of experience in AI/ML engineering, with a strong portfolio of deployed models.
- Proficiency in Python, TensorFlow/PyTorch, and SQL.
- Hands‑on experience with deep learning, NLP, and large‑scale data processing.
- Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work collaboratively in a cross‑functional team.
Skills
pythonmachine learningdeep learningnlp