About the job
AIQ is an Abu Dhabi-based joint venture between Presight and ADNOC, focusing on developing artificial intelligence technologies for the energy sector. The company aims to provide end-to-end AI solutions that enhance operational efficiency and reduce costs for its clients. AIQ embraces an innovative spirit, welcoming professionals who are eager to make impactful contributions. Employees at AIQ will engage with massive datasets and have access to cutting-edge AI infrastructure powered by the latest NVIDIA GPU cloud computing platform.
About the role
We are seeking a Senior Data Scientist (Computer Vision) to join our Oil and Gas team, specifically focusing on upstream production modeling and optimization. In this role, you will collaborate with cross-functional teams to analyze data, implement and maintain solutions, and provide actionable recommendations to enhance production management and operational performance.
Responsibilities
- Develop next-generation AI-enabled software products for the oil and gas industry.
- Formalize Oil & Gas problems into AI problems.
- Translate business objectives into actionable analyses and insights.
- Collaborate on solution design with other data scientists, engineers, and subject matter experts (SMEs).
- Prepare data: extract, clean, audit, and preprocess data for analysis.
- Analyze data quality and proactively address data issues.
- Contribute to the creation of large-scale labeled databases with our annotation team.
- Develop data-driven algorithms and prototypes for tasks like regression, classification, segmentation, anomaly detection, and optimization.
- Evaluate proposed AI solutions against project objectives.
- Stay current with the latest technology trends and apply state-of-the-art AI techniques to improve existing solutions.
- Deploy and maintain AI models in production.
- Aid in preparing and visualizing results from analyses.
- Communicate ideas, plans, and results effectively through presentations and written reports.
Qualifications
- Minimum of 5 years of experience in applying deep learning (DL) and machine learning (ML) techniques for computer vision tasks (classification, segmentation, detection, pose estimation).
- In-depth knowledge of deep learning basics and architectures such as ResNet, Inception, U-Net, and YOLO is essential.
- Proven experience in developing core AI algorithms for real-world applications.
- Participation and success in computer vision hackathons or competitions is a significant advantage.
- Experience with CCTV (camera networks) streams is a plus.
- Background in the oil and gas sector or oil field services is a plus.
Required key skills
- Strong foundation in applied mathematics, algorithms, and coding.
- Proficiency in machine learning and deep learning methodologies.
- Skilled in AI applications to signal-processing challenges.
- Proficient in Python and familiar with classic computer vision tools (OpenCV), deep learning frameworks (PyTorch), and popular machine learning libraries (e.g., Scikit-learn).
- Theoretical and practical knowledge of various machine learning algorithms (PCA, KNN, Random Forest, XGBoost) and deep learning networks (CNNs, GANs, Diffusion Models, Transformers).
- Experienced with development tools like PyCharm, Jupyter, MLFlow, Git, and Docker.
- Capability to build AI models and provide actionable recommendations derived from these models.
- Excellent verbal and written communication skills.
- Result-driven and proactive attitude.
Educational requirements
- Master’s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or an AI-related field.
