SR. DIGITAL ARCHITECT | QatarEnergy

AI/ML Expertise

• 8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.
• Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.
• 5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.
• Proficient in large language models and generative AI implementations.
• Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.
• Experienced with real-time ML systems and edge computing.

MLOps and DataOps

• Strong knowledge of MLOps practices and tools.
• Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.
• Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).

Cloud and Architecture

• Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.
• Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
• Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.

Governance and Compliance

• In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.
• Knowledgeable in AI/ML regulatory compliance.

Communication and Collaboration

Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions

• A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
• Advanced degrees (Master’s or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable