AI Engineer

SummaryWe are seeking experienced and innovative AI Scientists to join our Asset Management team. This role focuses on developing AI-powered applications that enhance operations, optimize maintenance strategies, extend asset life, reduce operating costs, and improve equipment safety. The ideal candidate will be passionate about applying AI technologies—including LLMs (Large Language Models) and SLMs (Small Language Models)—to real-world industrial challenges.Principle Responsibilities and DutiesDesign, develop, and deploy AI applications to support:Predictive and preventive maintenanceAsset life extension strategiesOperational cost reductionEquipment safety and reliabilityLeverage LLMs/SLMs for intelligent automation and decision supportCollaborate with cross-functional teams to identify AI opportunitiesWork within Azure cloud environments and integrate with Microsoft Copilot toolsEnsure all work complies with company policies, procedures, and confidentiality standardsProvide structured, timely updates and reports on project progressExplore and evaluate emerging AI technologies and methodologiesDemonstrate flexibility in adapting to evolving project needs and prioritiesQualificationsBachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or a related fieldMinimum of 3 years of experience in AI/ML development, preferably in industrial or asset-intensive environmentsProficiency in programming languages such as Python, R, or similarExperience working with Azure cloud services and AI toolsFamiliarity with Microsoft Copilot and its integration into enterprise workflowsStrong communication skills in English (written and verbal)Ability to work independently while maintaining alignment with team goalsWillingness to travel internationally as requiredAdherence to strict confidentiality and data protection standardsStructured reporting and documentation practicesCollaborative and proactive mindsetCommitment to continuous learning and innovationExperience with asset management systems or industrial operations in gas compression and gas processing industryKnowledge of maintenance management frameworks (e.g., RCM, CBM)Understanding of data governance, security, and compliance in AI applicationsAbility to translate business needs into technical solutionsPhysical RequirementsAbout Us: Transforming Energy for a Sustainable Future. Enerflex is a premier integrated global provider of energy infrastructure solutions, covering gas processing, compression, power generation, refrigeration, cryogenic, energy transition, and water solutions. We proudly employ more than 5,000 highly skilled employees across over 25 countries worldwide.Enerflex places its core Values of Integrity, Commitment, Creativity, and Success into action across all aspects of the business. Our innovation, strong commitment to safety, and superior service to our customers positions us as the optimal partner to meet the needs of the dynamic energy industry.We foster a culture of ensuring our employees have the tools to do their jobs right, but to also thrive in their roles. We pride ourselves in our competitive wages, extensive rewards programs, celebration of successes of individuals and teams, and are committed to ensuring Enerflex remains a safe and inclusive space for all.Enerflex is an Equal Opportunity EmployerEnerflex grants equal employment opportunity to all qualified persons without regard to race, color, sex, age, national origin, religion, genetic information, mental or physical disability, or any other characteristic protected by applicable federal, state, or local law. Equal employment opportunities are provided in recruitment, hiring, promotions, wages, benefits, and other terms, conditions, and privileges of employment.DisclaimerThe above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, tasks, duties, knowledge, skills, and abilities required.