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Salary
$94k – $250k per year (Estimated)
Location
In office (Doha)
Employment
Full-Time
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Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.
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.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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