Artificial Intelligence Specialist – Digitalization and Technology
We are seeking an Artificial Intelligence Specialist to join our Global Manufacturing Excellence Digitalization and Technology Management (D&TM). D&TM is responsible for providing AI-powered solutions to various business functions within our Global Manufacturing Excellence admin area. The solutions leverage the latest technological advancements in Artificial Intelligence (AI) and analytics to create business values across the value chain.
Duties & 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.
- 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.
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.
Ability to 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.
Understanding of the oil & gas downstream domain to apply data science effectively.
Experience in developing AI/ML based digital twins of industrial process/equipment.
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 such as Keras, TensorFlow, PyTorch, Cafe, etc.
Proficiency in developing, evaluation and selection of the best ML model based on the problem under consideration with an engineering sense.
Ability to bring ideas from conceptualization to production.
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.
Willing to relocate to Saudi Arabia?
Are you an Australia or New Zealand native; or are you currently living/working in Australia or New Zealand?