Research-Jobs in Frankreich

• Define and implement AI strategies that create measurable value.

• Develop scalable AI governance and infrastructure.

• Foster cross-entity collaboration across BNP Paribas Group.

• Promote a culture of “AI everywhere, for everyone” within Wealth Management.

• Model Deployment: Transition ML models from R&D into scalable production environments.

• Cloud-Based AI Infrastructure: Work across AWS, Azure, and GCP using distributed computing tools (e.g., Spark, TensorFlow).

• Hyper-personalisation: Develop recommender systems and intelligent client-facing solutions.

• Monitoring & Optimisation: Continuously evaluate and refine models in production.

• Automation & MLOps: Streamline lifecycle processes using CI/CD and monitoring tools (Prometheus, Grafana).

• Collaboration: Partner with cross-functional teams in business, tech, and engineering.

• Data Engineering: Develop robust data pipelines and architecture to support AI initiatives.

• Innovation: Research and apply cutting-edge ML and GenAI technologies.

• Documentation: Maintain clarity in technical documentation and stakeholder communications.

• Bachelor’s/Master’s in CS, Engineering, Maths, or Data Science.

• 3–6+ years in ML engineering (finance or tech sectors preferred).

• Proficient in ML libraries: TensorFlow, PyTorch, Scikit-learn, Keras.

• Skilled in Python, Java, or C++.

• Experience with cloud platforms and MLOps tools (Docker, Kubernetes, etc.).

• Demonstrable data skills (SQL/NoSQL, Spark, Hadoop).

• Exposure to Generative AI (prompt engineering, RAG, model monitoring).

• Experience in recommender systems, NLP, or deep learning.

• Bonus: Knowledge of explainable AI (e.g., SHAP, LIME), graph databases, and real-time ML solutions.

Salary: SGD 180K – 220K base + bonus
️Leave: 20 days annual leave + comprehensive insurance

Apply now and reach out directly to joel@tenten-partners.com.

TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.