ML Engineer (Forward Deployed Engineering)
Core
Deploy, configure, tune, and operationalize deep learning models and AI agents in live industrial environments for energy companies.
Role type
Forward Deployed ML Engineer
Builds
Production AI systems, RAG pipelines, and anomaly detection models for oil and gas operations
Domain
Energy (oil, gas, refineries, petrochemicals) + Industrial AI
Deliverable
production ML models
Required skills
Python, PyTorch, distributed systems design, Docker, Kubernetes/EKS, LLM API integrations, FastAPI, REST APIs, message brokers (Kafka/RabbitMQ), cloud/on-prem deployment, time-series data handling, industrial data familiarity (SCADA/DCS), customer-facing technical collaboration, production troubleshooting
Preferred skills
Oil and gas domain experience, data science background
Technologies
PyTorch, Python, Docker, Kubernetes, EKS, FastAPI, Kafka, RabbitMQ, AWS, Databricks, OpenAI, Claude, Gemini
Responsibilities
Deploy AI systems in customer environments, tune models to customer data, orchestrate agents, ensure inference reliability, collaborate with full stack and data engineers, troubleshoot production issues
Seniority
Mid-level, hands-on IC
