Senior Manager BIM Developer (TensorFlow,PyTorch) - Doha [QA]
28 July 2026
Job details
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BIM Developer
Job Description
This company is looking for a Senior Digital Architect to lead the design and implementation of cloud-based digital platforms. The role involves enhancing enterprise analytics by integrating AI/ML, emerging technologies, and large-scale data processing to drive better decision-making and efficiency. You'll be instrumental in accelerating digital transformation and fostering innovation.
You will be responsible for architecting secure, scalable cloud-native frameworks for AI/ML solutions, including MLOps pipelines and generative AI implementations with a focus on safety and ethics. This includes designing architectures for packaging AI/ML models as production-ready APIs and defining standards for model deployment and monitoring. You'll also evaluate industry platforms and tools to align with business needs and establish governance frameworks for the AI model lifecycle.
The ideal candidate will have over 8 years of experience in digital solution architecture, with at least 5 years focused on AI/ML, preferably in the energy sector. Strong experience with AI/ML frameworks, MLOps, DataOps, cloud platforms (Azure or GCP), and microservices architecture is essential. A solid understanding of data governance, cybersecurity, and AI ethics is also required.
If you're passionate about shaping the future of digital architecture and AI, this could be your next challenge.
You will be responsible for architecting secure, scalable cloud-native frameworks for AI/ML solutions, including MLOps pipelines and generative AI implementations with a focus on safety and ethics. This includes designing architectures for packaging AI/ML models as production-ready APIs and defining standards for model deployment and monitoring. You'll also evaluate industry platforms and tools to align with business needs and establish governance frameworks for the AI model lifecycle.
The ideal candidate will have over 8 years of experience in digital solution architecture, with at least 5 years focused on AI/ML, preferably in the energy sector. Strong experience with AI/ML frameworks, MLOps, DataOps, cloud platforms (Azure or GCP), and microservices architecture is essential. A solid understanding of data governance, cybersecurity, and AI ethics is also required.
If you're passionate about shaping the future of digital architecture and AI, this could be your next challenge.
Recruiter checklist : Top 3 Must-Have Skills
AI application strategy
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