The role is to support the Principal Engineer in driving the implementation of technology use cases, vendor discussions, and in-house AI-ML applications on internal use cases. You will utilize your expertise in data science and artificial intelligence to contribute to the development and deployment of innovative solutions across the organization.
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Key Accountabilities
- Collaborate with the Principal Engineer to identify and evaluate AI-ML use cases for enhancing process efficiency and reducing reliance on conventional technologies.
- Assist in developing and implementing novel data science and AI applications, including AI-advisory modelling, ML algorithms, and AI-based ESG and safety dashboards.
- Conduct technical research to explore potential AI-ML applications and stay updated with emerging trends and advancements in the field.
- Contribute to the development of testing and validation protocols to ensure successful implementation of new technologies.
- Collaborate with the Principal Engineer to establish best practices, standards, policies, and procedures for the adoption of novel AI and data science applications.
- Stay updated with industry best practices and advancements in data science and artificial intelligence and share knowledge with the team.
Qualifications & Experience:
- Bachelor's degree in computer engineering, IT Engineering, Software Engineering, or a related field
- 5 - 10 years of experience in data science and AI-ML technologies, with a focus on driving innovation and efficiency improvements in the extractive industry.
The company High-Performance Competencies:
- Teamwork
- Integrity
- Care
- Ownership
- Accountability
- Communication
- Continuous improvement
- Achievement Drive
- Decisiveness and judgement
- Impact and influence
- Commercial Acumen
- Strategic Visioning
Skills:
- Problem solving capability.
- Fast learner, adaptable to change to work in an agile environment.
- Demonstrated skills in mastering new knowledge and its applications.
- Demonstrated ability to see underlying concepts and patterns in complex situations and their application to business decisions.
- Work well in a cross-functional, strongly matrixed environment.
- Critical thinking capabilities, analytical skills, action orientation
Location:
Riyadh, Saudi Arabia
