Overview
About AIQ:
AIQ is an Abu Dhabi based joint venture company between Presight and ADNOC, which focuses on developing artificial intelligence technologies. AIQ develops and commercializes AI products and applications for energy world. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients. AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission. Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.
About The Role
We are seeking an experienced Senior Data Scientist to join our team operating in the Oil and Gas sector, specifically in upstream optimization. As a Senior Data Scientist, you will play a crucial role in extracting insights from complex datasets, developing data-driven algorithms, and implementing AI solutions to optimize oil production operations. Your expertise in machine learning, deep learning, and optimization techniques will be vital in solving industry-specific challenges and driving efficiency gains in oil production processes. You will work closely with cross-functional teams to analyze data, implement, deploy and maintain solution, and deliver actionable recommendations to improve production management and maximize operational performance.
Responsibilities
- Experimentation and Prototype Development: Design, develop, and assess data-driven algorithms for various tasks (regression, classification, segmentation, etc.) using cutting-edge AI techniques.
- Prototype and evaluate LLM-based systems and multimodal models for tasks such as document understanding, knowledge extraction, and workflow automation.
- End-to-End Implementation: Hands-on implementation of AI models, from data preparation and cleaning to model deployment and maintenance in production.
- Integration of Pipelines: Contribute to the solution design and collaborate with teams to integrate AI-enabled software products for the oil & gas industry.
- Monitoring Model Performance: Evaluate and monitor AI solutions to ensure they align with project objectives, addressing data quality issues and continuously improving existing solutions.
Qualifications
Requirements Experience
- At least 4 years of experience demonstrating depth and breadth in Computer Vision projects (classification, detection, segmentation) with CV approaches.
- Demonstrated experience with state-of-the-art machine-learning and/or deep-learning technologies.
- Demonstrated experience in developing, deploying and scaling end to end ML pipelines in industrial context.
- Hands-on experience building and deploying LLM applications (e.g., GPT, Llama, Falcon, Claude), including fine-tuning, RAG systems, domain adaptation, or multimodal extensions.
- Demonstrated experience designing and implementing agentic AI systemstask-oriented agents, workflow orchestrators, tool-using agents, or autonomous reasoning frameworks.
- Experience in Geoscience applications to the Oil & Gas sector is a plus.
Requirements Key Skills
- Strong foundation in applied mathematics and statistics.
- Proficiency in machine learning and deep learning techniques.
- Advanced Python programming skills for AI development.
- Extensive experience with classic CV tools (OpenCV), deep learning frameworks (PyTorch, TensorFlow), and popular ML libraries (Scikit-learn).
- Comprehensive knowledge and practical application of diverse ML algorithms and DL architectures.
- Proficiency in essential development tools like PyCharm, Jupyter, ClearML, Git, and Docker.
- Strong knowledge of LLM frameworks and tooling (LangChain, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs).
- Proficiency in prompt engineering, evaluation frameworks, and structured prompt design.
- Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, or custom agent architectures).
- Autonomy in problem-solving and project execution, demonstrating the ability to work independently and in a team framework.
- Excellent communication skills for conveying technical concepts effectively.
Educational Requirements
- Master's degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field.
