Skills
Artificial intelligence
Machine learning
Cloud AI services
AI application development
Production pipelines
Generative AI
Deep learning
Neural networks
Chatbots
Image processing
Team leadership
Cross-team collaboration
AI
Machine Learning
Deep Learning
Neural Networks
Image Processing
Cloud AI Services
Summary
✨ AI‑Generated
A major consulting and technology organization is seeking an AI/ML engineer for a large financial-sector data initiative. The role involves developing production-ready AI applications and cloud or on-premises pipelines, applying generative AI, deep learning, neural networks, chatbots, and image processing. The successful candidate will act as a subject-matter expert, coordinate team activities, make technical decisions, and collaborate across multiple teams.
Highlights
Opportunity to work on advanced AI and data initiatives, apply generative AI and cloud AI services to production systems, and take on subject-matter-expert and team leadership responsibilities.
Description
Client & Project: We are seeking a new talent to join the AI & Data team where you will have the opportunity to collaborate in the project 12050281 QCB Data Mgmt Prg - Phase 3.
The client is CENTRAL BANK OF QATAR, a company responsible for regulating and overseeing the financial and banking sectors within Qatar to ensure stability and compliance.
Responsibilities: As an AI / ML Engineer, you will be responsible for developing applications and systems that utilize artificial intelligence tools and cloud artificial intelligence services, ensuring proper cloud or on-premises application pipelines with production-ready quality.
Your work will involve applying generative artificial intelligence models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing.
You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and provide solutions to problems within your immediate team and across multiple teams.
Expert proficiency in Machine Learning (ML) is required.
Advanced proficiency in Foundation Model Fine Tuning, Foundation Models, and Database Architecture is suggested.
Lead the design and implementation of scalable artificial intelligence solutions that meet project requirements and quality standards.
Collaborate closely with cross-functional teams to integrate machine learning models into broader system architectures.
Provide technical guidance and support to colleagues, fostering knowledge sharing and continuous improvement.
Analyze complex data sets to identify trends and opportunities for enhancing model performance and application effectiveness.
Contribute to the evaluation and adoption of emerging technologies to maintain innovation and competitive advantage.
Client & Project: We are seeking a new talent to join the AI & Data team where you will have the opportunity to collaborate in the project 12050281 QCB Data Mgmt Prg - Phase 3.
The client is CENTRAL BANK OF QATAR, a company responsible for regulating and overseeing the financial and banking sectors within Qatar to ensure stability and compliance.
Responsibilities: As an AI / ML Engineer, you will be responsible for developing applications and systems that utilize artificial intelligence tools and cloud artificial intelligence services, ensuring proper cloud or on-premises application pipelines with production-ready quality.
Your work will involve applying generative artificial intelligence models as part of the solution, which may include deep learning, neural networks, chatbots, and image processing.
You are expected to be a subject matter expert, collaborate and manage the team to perform effectively, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and provide solutions to problems within your immediate team and across multiple teams.
Expert proficiency in Machine Learning (ML) is required.
Advanced proficiency in Foundation Model Fine Tuning, Foundation Models, and Database Architecture is suggested.
Lead the design and implementation of scalable artificial intelligence solutions that meet project requirements and quality standards.
Collaborate closely with cross-functional teams to integrate machine learning models into broader system architectures.
Provide technical guidance and support to colleagues, fostering knowledge sharing and continuous improvement.
Analyze complex data sets to identify trends and opportunities for enhancing model performance and application effectiveness.
Contribute to the evaluation and adoption of emerging technologies to maintain innovation and competitive advantage.
