AI / ML Engineer

Accenture Middle East; Qatar; On-site; QAR 120,000 - 150,000; Full time

Job summary

Accenture Middle East in Qatar seeks an AI ML Engineer to develop applications and systems using artificial intelligence tools and cloud services, ensuring production-ready pipelines and robust deployment. You will apply generative AI models, including deep learning, chatbots, and image processing, while guiding a team across multiple projects.

The role requires SME-level ML proficiency and collaboration with cross-functional teams to deliver scalable AI solutions, with a focus on model

Qualifications

• Expert proficiency in Machine Learning (ML) is required.
• Advanced proficiency in Foundation Model Fine Tuning, Foundation Models, and Database Architecture is suggested.

Responsibilities

• Develop AI/ML applications and systems that utilize AI tools and cloud AI services, ensuring production-ready pipelines.
• Lead design and implementation of scalable AI solutions, and collaborate with cross-functional teams to integrate models into broader systems.

Job description

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 Expert proficiency in Machine Learning (ML) is required.Advanced proficiency in Foundation Model Fine Tuning, Foundation Models, and Database Architecture is suggested.