ML Engineer, Forward Deployed
Core
Integrate tabular foundation models into customer platforms and pipelines, performing hands-on data science to prove value and own implementation through production.
Role type
Senior forward-deployed ML engineer (tabular foundation models)
Builds
Production-ready tabular foundation model integrations for strategic customers
Domain
Structured data machine learning / Tabular AI / Enterprise data ecosystems
Deliverable
production ML models
Required skills
Python, PyTorch, scikit-learn, transformer/foundation-model approaches, tabular/time-series/structured-data ML, cloud deployment (AWS/GCP/Azure), feature engineering, model benchmarking, API design, deployment pipeline design
Preferred skills
Prior forward-deployed or solutions engineering experience, open-source contributions to ML/data engineering, experience with enterprise data ecosystems
Responsibilities
Embed foundation models into customer cloud environments and ML pipelines; frame problems and engineer features on real messy data; customize and optimize models for performance/latency/scale/cost trade-offs; partner with customer data science teams as a peer; establish deployment patterns for the team
Seniority
Senior, hands-on IC with high autonomy