Remote Refining & Petrochemical AI Optimization Engineer

Openkrill; United States; Remoto; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Stock options

Hybrid/Remote work options

Home office stipend

Internet stipend

Descrizione del lavoro

Imubit is seeking an Implementation Engineer to build AI-driven optimization models for live refinery and petrochemical units. You’ll scope opportunities with customers, lead modeling work, and deliver closed-loop deployments, training client teams to run and monitor results.

The role blends chemical engineering expertise with machine learning, focusing on real-time optimization and economic impact. Travel to client sites in the US is required, with remote-friendly practices and a strong

Competenze

• 4+ years of engineering experience in refining, petrochemicals, chemicals, NGL or another continuous-process industry.
• BSc in Chemical Engineering or related technical discipline; advanced degrees are a plus.
• Process engineering or process control background with APC and optimization concepts.
• Hands-on analysis of plant time-series data and visualization.
• Client-facing or operations-support experience to earn credibility with plant engineers and operators.
• Willingness to travel up to 25%.

Mansioni

• Scope optimization opportunities with customers and present the scope to their team.
• Lead the technical side of projects: plan modeling work, manage schedule, own client relationships.
• Analyze plant time-series data and quantify data quality to determine what can be built.
• Build and evaluate AI models from soft sensors to closed-loop optimizers.
• Defend modeling decisions in design reviews with client engineers.
• Commission models on site, train operators, and monitor performance through sign-off.

Conoscenze

Communication

Travel readiness

Formazione

BSc in Chemical Engineering

Strumenti

Python

DCS

OPC

Process historians

Descrizione del lavoro

Imubit is seeking an Implementation Engineer to build AI-driven optimization models for live refinery and petrochemical units. You’ll scope opportunities with customers, lead modeling work, and deliver closed-loop deployments, training client teams to run and monitor results.

The role blends chemical engineering expertise with machine learning, focusing on real-time optimization and economic impact. Travel to client sites in the US is required, with remote-friendly practices and a strong