Machine Learning Engineer
Core
Building and deploying production-grade AI systems, specifically Large Language Models (LLMs) and agentic workflows, to solve complex natural resource, energy transition, and infrastructure challenges.
Role type
Senior Machine Learning Engineer (LLM & Data Infrastructure)
Builds
Production LLMs, data pipelines, and AI workflow orchestration for digital solutions.
Domain
Earth data, energy transition, and infrastructure
Deliverable
production ML models
Required skills
Deep learning frameworks (TensorFlow/Pytorch), Large Language Model technologies, Data Engineering/Data Structuring, Machine Learning Algorithms and Libraries, Programming (C/C++/R/Java/Python), Project management
Preferred skills
Experience with AI development lifecycle, Enterprise project experience
Technologies
TensorFlow, PyTorch, Cursor, Windsurf, Trae, Gemini CLI, Claude Code, Codex
Responsibilities
Deploy and fine-tune LLMs for domain-specific tasks, Build evaluation infrastructure and benchmarking pipelines, Collaborate on data pipelines for ingestion, transformation, versioning, and labeling, Orchestrate multiple models to deliver SOTA results
Seniority
Senior, hands-on IC
