Data Scientist
Saudi Arabia || 754 Days Ago
Saudi Arabia
Description
Aramco energizes the world economy.
Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
Overview
Data Scientist with experience in the implementation of Generative AI (GenAI) solutions, utilizing state-of-the-art frameworks such as LangChain, Flask API, and Retrieval-Augmented Generation (RAG) methods. Plays a critical role in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies.
Key Responsibilities
- Develop and Implement GenAI Solutions: Design and implement Generative AI models and systems using frameworks such as LangChain and RAG methods.
- API Development: Develop and maintain Flask APIs to integrate GenAI solutions with existing systems and applications.
- Data Management: Handle data preprocessing, cleaning, and augmentation to ensure high-quality input for AI models.
- Model Training and Optimization: Train and fine-tune AI models, ensuring optimal performance and accuracy.
- Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions.
- Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts, HR SME's to ensure seamless integration and deployment of AI solutions.
- Documentation and Reporting: Document methodologies, processes, and results. Prepare reports and presentations for stakeholders.
Minimum Experience Requirements
Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.
Experience:
- Minimum of 10 years of experience in data science, machine learning, and AI, minimum 2 years' experience in GenAI
- Proven experience in developing GenAI solutions using LangChain, RAG methods, and other relevant frameworks.
- Experience with Flask for API development.
Technical Skills:
- Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow).
- Strong understanding of natural language processing and generative models.
- Experience with vector databases, e.g. Chroma for document and vector management, and embedding models.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and in a team environment.
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.
Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.
With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.
Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.
We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.
Overview
Data Scientist with experience in the implementation of Generative AI (GenAI) solutions, utilizing state-of-the-art frameworks such as LangChain, Flask API, and Retrieval-Augmented Generation (RAG) methods. Plays a critical role in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies.
Key Responsibilities
- Develop and Implement GenAI Solutions: Design and implement Generative AI models and systems using frameworks such as LangChain and RAG methods.
- API Development: Develop and maintain Flask APIs to integrate GenAI solutions with existing systems and applications.
- Data Management: Handle data preprocessing, cleaning, and augmentation to ensure high-quality input for AI models.
- Model Training and Optimization: Train and fine-tune AI models, ensuring optimal performance and accuracy.
- Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions.
- Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts, HR SME's to ensure seamless integration and deployment of AI solutions.
- Documentation and Reporting: Document methodologies, processes, and results. Prepare reports and presentations for stakeholders.
Minimum Experience Requirements
Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus.
Experience:
- Minimum of 10 years of experience in data science, machine learning, and AI, minimum 2 years' experience in GenAI
- Proven experience in developing GenAI solutions using LangChain, RAG methods, and other relevant frameworks.
- Experience with Flask for API development.
Technical Skills:
- Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow).
- Strong understanding of natural language processing and generative models.
- Experience with vector databases, e.g. Chroma for document and vector management, and embedding models.
Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and in a team environment.
Working environment
Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.
At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.
We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.
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2021-09-26