About: Neuralk-AI is a deep-tech company developing foundation models for data science, building predictive infrastructure for structured-data challenges across finance, operations, risk and customer analytics. The Forward Deployed Engineer deploys Neuralk’s foundation model in production on real enterprise data.
Missions
- Lead client engagements end to end, from problem definition through to production deployment.
- Run rigorous model evaluations against clients’ existing baselines and industry standards.
- Design data pipelines adapted to each client’s technical infrastructure.
- Act as the primary technical liaison between clients and Neuralk’s research team.
- Turn field insights into product improvements and repeatable deployment frameworks.
Profile
- Three to seven years as an ML Engineer, Data Scientist or ML consultant, with a record of leading production ML projects.
- Production-grade Python and expertise in tabular data pipelines and feature engineering.
- Strong ML fundamentals, including model calibration and evaluation methodology, plus scikit-learn, LightGBM or XGBoost.
- Proficiency with SQL, AWS or GCP, and Docker/Kubernetes.
- Confident client-facing communication, high autonomy and comfort with ambiguity.
- Fluent English is mandatory; French is preferred.
