Artificial Intelligence Specialist

Who is our client and your future employer? The company where energy is the opportunity! Our client occupies a unique position in the global energy industry. They are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer. With significant investment in technology and infrastructure, they strive to maximize the value of the energy they produce for the world and commit to enhancing value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, our client combines market discipline with a generations-spanning view of the future, born of our nine decades of experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to many communities, economies, and countries that rely on the vital and reliable energy we supply. This company is one of the most profitable in the world and amongst the top five global companies by market capitalization. LHR Americas LHR Americas recruits people from around the world to work in Saudi Arabia. Who are we looking for? We are seeking an Artificial Intelligence Specialist to join our Global Manufacturing Excellence Digitalization and Technology Management (D&TM). D&TM are responsible for providing AI-powered solutions to various business functions within our Global Manufacturing Excellence admin area. The solutions leverage the latest technological advancements of Artificial Intelligence (AI) and analytics to create business values across the value chain. The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under downstream business line within for Digital transformation, Artificial Intelligence technologies and data science. Your primary role will be to work closely with business functions, stakeholders, functional teams to give consultations on AI/ML use case, identify potential value from data, formulate AI and data science ideas and conceptualize them. This role will play a pivotal role in helping our organization to make data-driven decisions and to solve complex problems. Minimum Requirements Bachelors/ Master's degree in Engineering, Data science from a premier institute. +5 years of experience in building data analytics-based products in industrial context, preferably in petroleum refineries. Identify business problems that can be addressed through data analysis and develop data-driven solutions (Engineering/Operational problems, computer vision-based products). Exceptional analytical and Problem-solving skills, with the ability to derive insights and opportunities from data are required. Understanding of the Oil & gas downstream domain to apply data science effectively is essential. Experience in developing AI/ML based Digital twins of industrial process/equipment's. Experience in applying Optimization algorithms in line with AI/ML Models. Expertise in Python for data manipulation, analysis, and modeling. Familiarity with popular libraries such as NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn etc. Proficiency in deep learning tools keras, TensorFlow, pytorch, cafee, etc. Proficiency in developing, evaluation and selecting the best ML model based on the problem under consideration with an Engineering sense. Bring ideas from conceptualization to productionizing. Proficiency in visualization tools and packages; and in communicating data science topics to non-technical audience. Basic project management skills to plan, execute, and deliver data science projects on time and within scope is preferred. Key Responsibilities Collaborate with cross-functional teams, including engineers and domain experts, to drive data-driven improvements. Gather and preprocess data from various industrial sources, such as sensors, DCS systems, and manufacturing equipment's. Analyze data to identify opportunities for process optimization, energy efficiency improvements, and cost reduction. Implement anomaly detection algorithms to identify abnormal patterns in industrial processes and equipment. Develop predictive maintenance models to identify equipment failures and minimize downtime. Bring innovative ideas to apply image, video and audio analytics to reduce manual efforts like visual inspection/field monitoring of industrial plants. Create informative dashboards to communicate insights to operational teams and management. Deploy machine learning models into production systems for real-time monitoring and decision-making. Maintain documentation for data analysis processes, models, and findings. Ensure that data practices adhere to industry regulations and data privacy standards. Monitor and evaluate model performance and make necessary adjustments to maintain accuracy and reliability. Job Benefits Monthly Base Salary – aligned with company employees with similar skills Monthly Overbase – 25% of your monthly base salary Benefits Supplement – 20% of your monthly base salary, after 3 years of service, reward increases to 25% of base, after 6 years 30% of base, and after 12 years 35% of base Severance Package (2-year vest period) – year 2 to 5: 2 week's pay for each year of service, Year 6+: 4 week's pay for each year after Employment Tax – if employee chooses to separate themselves from their 'home country' for income tax purposes, most will not be required to pay 'home country' income taxes; company will not report income to the 'home country' governments. Please check with your tax advisor for specifics relating to you Employee Share Purchase Plan (ESPP) (eligible after 12 months of service) – maximum purchase equal to 10% monthly base pay with a cap, 20% share discount Incentive Plan – annual; based on performance, approx. 1.8x monthly base salary Travel Allowance – annual; approx. $8,200 per household member 11+ years old residing in Saudi Arabia and $6,000 per household member under 11 years old Vacation & Paid Holidays – 38 vacation days / 4 travel days / 11-13 paid holidays Medical/Dental Plan – complimentary in-Kingdom Johns Hopkins medical care/facilities for employee and eligible family members. In-Kingdom dental services subsidized Educational Assistance Plan (EAP) – Out of Kingdom Assistance: 90% of expenses with a maximum per child, lesser of 5x monthly base salary or the company max ($48.5K), plus 3 round-trip economy air travel tickets; undergraduate college-age children get 2 round-trip economy air travel tickets; In Kingdom Assistance: 2x monthly base salary or the company max ($16.3K) Settling in Allowance – one-time payment; Family Status - 100% of monthly base salary; Single/Bachelor Status – 60% of monthly base salary Stages of our Hiring Process 1. Resume Evaluation: A member of our recruitment team will evaluate that your resume matches the client's job description requirement. Use the job description requirements to highlight your relevant experience and skills. Be specific and describe the significance of your work, keyword alignment is important. Emphasize the impact of the work you've contributed to HR areas and tasks. Use your professional profile/resume to focus on major accomplishments and qualifications that match the job. If your resume evaluation is suitable for this position, the recruitment team will invite you to a preliminary phone/video interview in 2-3 days. If your resume evaluation is not suitable, you will be receiving an e-mail notification in 2-3 days. 2. Interviews Stage: 2.1 LHR Americas preliminary phone/video interview: A member of the Talent Acquisition team from LHR Americas will first schedule a call with you to discuss the details of the position, your interests, and qualifications. Furthermore, your English level will be evaluated at this stage, ONLY native or advanced speakers will approve this evaluation. If this preliminary phone/video interview is successful, your resume will be submitted to our client. If your preliminary phone/video interview is not successful, our Talent Acquisition consultant will inform you. 2.2 Client Face to Face interview: This interview will happen only if your resume is approved by our client, we cannot guarantee the time our client will take to approve your resume, but it should take less than a week. If your resume is approved a member of the Talent Acquisition Team will get back to you and schedule a face-to-face meeting in a defined location. You will be told to go to the location. The client interview contains technical questions that help assess your familiarity with problem-solving in your given field and may include a behavioral evaluation. Be prepared to explain how you approach problems and produce solutions. If your face-to-face interview is successful, the hiring team will further evaluate your resume, decide, and then receive a conditional job offer. If your face-to-face interview is not approved, LHR Americas will inform you. 2.3 There could be additional video interviews with hiring managers, which may also contain technical questions that help us assess your familiarity with problem-solving in your given field. 3. Conditional Offer: A successful interview may result in a conditional offer of employment. Conditions for employment include but are not limited to medical examinations, and permission to secure a visa to work and reside in-country. 4. Relocation Process: After your offer is accepted and all conditions for employment are met, you will be assigned a relocation advisor from LHR Americas. This advisor will be your go-to resource for your job transition, providing valuable advice on visa logistics, notice periods, medical requirements, and more.