- Experience
- 4+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 2 گھنٹے قبل
- Work mode
- In office
- Education
- Master's or Ph.D. in Computer Science, Applied Mathematics, Statistics, or related AI disciplines
- Resume
- Required to apply
Where you'll work
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Job description
About AIQ
AIQ is a technology enterprise based in Abu Dhabi specializing in industrial artificial intelligence with a focus on the energy sector. Established as a joint venture between Presight (G42) and ADNOC, AIQ has successfully developed 15 AI-driven solutions that enhance client performance, safeguard personnel and equipment, promote sustainability, and enable rapid scaling of successes in operations. The company fosters an innovative and entrepreneurial culture committed to delivering responsible AI at the core of industrial workflows. Employees engage in major industrial transformation initiatives, work with large datasets, and leverage advanced AI infrastructure powered by NVIDIA GPU cloud technology, alongside extensive computing, storage, and network resources from the G42 ecosystem.
Role Overview
The Senior Data Scientist will be instrumental in the upstream optimization of oil and gas operations by harnessing complex data insights and designing AI solutions. The role demands expertise in machine learning, deep learning, and optimization strategies to solve sector-specific challenges and boost production efficiencies. Collaboration with multidisciplinary teams will be key in data analysis, AI model development, deployment, and continuous improvement to enhance production management outcomes.
Responsibilities
- Design and prototype AI algorithms for regression, classification, and segmentation tasks utilizing advanced AI methodologies.
- Develop and evaluate large language model (LLM)-based and multimodal AI systems for document comprehension, knowledge extraction, and workflow automation.
- Execute end-to-end AI model lifecycle, including data preparation, training, deployment, and maintenance within production environments.
- Work collaboratively in designing solutions and integrating AI applications into existing product pipelines tailored for the oil and gas sector.
- Continuously assess AI models' performance and quality, implementing enhancements to meet project and operational goals.
Qualifications and Experience
- A minimum of 4 years’ robust experience in computer vision projects involving classification, detection, and segmentation.
- Proven proficiency with cutting-edge machine learning and deep learning technologies.
- Hands-on expertise in developing, deploying, and scaling industrial machine learning pipelines.
- Experience building and managing large language model applications, including fine-tuning, retrieval-augmented generation, domain adaptation, and multimodal systems.
- Knowledge in architecting agentic AI systems such as task-oriented agents, workflow orchestrators, and autonomous reasoning frameworks.
- Familiarity with geoscience applications within the oil and gas domain is advantageous.
Key Skills
- Strong applied mathematics and statistical analysis foundation.
- Advanced machine learning and deep learning capabilities.
- Expert-level Python programming skills tailored for AI development.
- Experience with OpenCV, PyTorch, TensorFlow, and Scikit-learn.
- Mastery of various machine learning algorithms and deep learning architectures.
- Operational knowledge of development tools including PyCharm, Jupyter, ClearML, Git, and Docker.
- Comprehensive understanding of LLM frameworks and tools like LangChain, LlamaIndex, Hugging Face, and OpenAI/Anthropic APIs.
- Proficiency in prompt engineering, evaluation frameworks, and structured prompt design methodologies.
- Familiarity with agent frameworks such as LangGraph, AutoGen, CrewAI, or custom-built architectures.
- Ability to operate independently and collaboratively in teams with strong problem-solving skills.
- Exceptional communication skills to effectively articulate complex technical concepts.
Educational Qualifications
Master’s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or a related AI field.
Working at AIQ
- A dynamic and fast-paced environment fostering initiative and innovation among a diverse, talented global workforce.
- Recognition and reward for contributions supporting optimal professional performance.
- Competitive compensation including healthcare, educational support for dependents, leave benefits, and more.