AI/ML Engineer

Key responsibilities

• Design, train, and evaluate machine-learning models for production use cases
• Build data pipelines for model training, validation, and inference
• Deploy models and AI features to production with monitoring and fallback handling
• Collaborate with product and engineering on AI feature requirements and tradeoffs
• Stay current with research and evaluate new methods for adoption

Skills we vet for

Every AI/ML Engineer we place clears a rigorous screen. These are the capabilities we verify before a candidate ever reaches you.

• Python and ML frameworks including PyTorch, TensorFlow, and scikit-learn
• Statistical modeling and feature engineering
• Data pipeline design for training and serving
• MLOps including versioning, monitoring, and production deployment
• Prompt engineering and LLM integration

Common tools

A Lago-placed AI/ML Engineer typically works across these platforms. Let us know your stack and we'll match accordingly.