Refining and Petrochemical Process Optimization Engineer

Imubit

. Scope optimization opportunities with customers, including objectives, constraints and value cases .

Posted 10/2/2026full-timeRemote • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Chemical Engineering and process optimization, leveraging AI and machine learning to enhance manufacturing processes. Proven ability to analyze plant data, lead technical projects, and maintain strong client relationships in continuous-process industries.

Highest-signal resume keywords

Chemical EngineeringProcess OptimizationAI And Machine LearningPlant Data AnalysisClient-Facing Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Process ControlData ScienceScripting In PythonReal-Time OptimizationAPC KnowledgeModel CommissioningTime-Series Data AnalysisModel EvaluationProcess Response ModelsClosed-Loop Optimizers

Soft Skills

Strong Communication SkillsPresentation SkillsConsultative MindsetProblem-Solving AbilityAbility To Drive Work Independently

Tools & Technologies

DCSProcess HistoriansOPCAutomation ToolsModel Development Tools

Industry Keywords

RefiningPetrochemicalsContinuous-Process IndustryPlanning And EconomicsClient Relationship Management

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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