Refining and Petrochemical Process Optimization Engineer

🔥 39 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Imubit

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🤖 Artificial Intelligence

⚡ Energy

Artificial Intelligence • Energy

Imubit is the industry leading Closed Loop AI Optimization (AIO) solution for the heavy process industries. Imubit empowers OT leaders to break down organizational silos and democratize AI, accelerating workforce transformation while delivering meaningful business results. With over 90 applications in industries like oil and gas, chemicals, and MMM, Imubit is your proven AI solution to maximize operational efficiency, ensuring you can meet demand growth sustainably. The Imubit Optimizing Brain™ Solution combines advanced AI technology with deep domain expertise, understanding your plant's most complex process relationships and leveraging advanced reinforcement learning to learn the most optimal operating strategy in any possible process scenario. Imubit goes beyond data-driven decision-making by integrating with existing process controls infrastructure to closed the loop, making sure no optimization value goes uncaptured.

📋 Description

• Scope optimization opportunities with customers, including objectives, constraints and value cases • Lead the technical side of projects, plan modeling work, maintain schedules and own technical customer relationships • Analyze plant time-series data to establish feasibility and quantify data quality • Build and evaluate AI models, including inferential models, process response models and closed-loop optimizers • Assess whether learned relationships reflect real processes and explain deviations from first principles • Defend modeling decisions in design reviews with customer engineers • Commission models on site, train operators and engineers, and monitor closed-loop performance through customer sign-off • Troubleshoot and retrain deployed models around turnarounds and process changes • Learn and support systems integration, including plant data connections, tag configuration and control-system links • Build automations, documentation and training for customer model development, evaluation and monitoring • Channel field insights to Product and R&D teams to shape the platform • Work directly with Imubit’s founders and contribute to company growth • Work with client teams remotely and on-site to use data to explore processes and economic drivers • Apply Chemical Engineering knowledge to machine learning technology to optimize live manufacturing processes • Define process optimization strategies with internal and client economic teams • Demonstrate Imubit’s technology to clients and train them to use it • Facilitate two-way communication between clients and Imubit’s R&D team

🎯 Requirements

• 4+ years of engineering experience in refining, petrochemicals, chemicals, NGL or another continuous-process industry • BSc in Chemical Engineering, a related technical discipline or equivalent practical experience • Process engineering or process control background, with working knowledge of APC and optimization concepts such as gains, constraints and objective functions • Hands-on analysis of plant time-series data, including visualizing large data sets and drawing sound conclusions from them • Client-facing or operations-support experience, enough to earn credibility with plant engineers and operators • Willingness to travel up to 25% • Strong communication and presentation skills • Operating plant experience as a unit process engineer, control engineer or in operations support • Planning and economics (P&E) experience, including building, maintaining or running refinery LP models • Experience with APC or real-time optimization • A record of leading projects or implementations, including the technical relationship with the client • Scripting or data science experience, for example in Python • Exposure to plant data systems such as DCS, process historians or OPC • Background in consulting or a customer-facing vendor role serving industrial clients • Familiarity with AI, machine learning or advanced analytics applied to industrial processes • A record of improving plant performance with little or no capital spend • Able to distinguish learned relationships that reflect the process from those that do not and explain why • Deep understanding of refinery and petrochemical units, control systems and economics • Ability to solve messy process problems from data to answer • Comfortable explaining technical concepts to operators, engineers and managers • Consultative customer-focused mindset • Ability to drive work independently and learn new technology quickly • No visa sponsorship is available for this position

🏖️ Benefits

• Work at the cutting edge of industrial AI with Fortune 500 companies transforming how they operate • A two-track career path where management and individual contribution are equally serious destinations, with movement in both directions • Join a high-trust, cross-disciplinary team of engineers, data scientists, economists and product innovators • Flexible, remote-first working culture with a collaborative, ideas-welcome environment