Full Stack Data Scientist (AI & GenAI Leader) – Ghaia.ai
Role Overview:
We are seeking a Full Stack Data Scientist with deep expertise in AI, Generative AI (GenAI), and machine learning technologies, especially in the Microsoft Azure ecosystem. This leader will spearhead AI delivery projects, contributing to our growing portfolio across industries such as oil and gas, government, and retail. The ideal candidate will have extensive experience in AI project execution, from data engineering to model deployment, with a strong track record in working with the latest AI models like LLMs (Large Language Models) and RAG (Retrieval-Augmented Generation).
As part of their role, this individual will guide teams, manage complex AI use cases, and deliver end-to-end AI solutions that align with business objectives. The role also requires a blend of strategic foresight, technical depth, and hands-on expertise to successfully integrate AI into operational workflows.
Key Responsibilities:
- AI Project Leadership: Lead the delivery of AI and GenAI projects from inception to deployment, ensuring alignment with business goals, timelines, and resource allocation.
- Technical Delivery Oversight: Design, build, and deploy AI/ML models (including LLMs and RAG models) to solve business challenges, ensuring solutions are optimized for scalability and efficiency.
- Cross-Industry Expertise: Deliver impactful AI solutions tailored to industries such as oil and gas (e.g., predictive maintenance), government (e.g., citizen engagement, process automation), and retail (e.g., customer personalization).
- Data Engineering & Model Training: Oversee data engineering pipelines, ensuring that the right data is accessible, clean, and optimized for machine learning models. Responsible for model training and fine-tuning to meet specific business needs.
- MLOps & Lifecycle Management: Implement robust MLOps practices to ensure models are deployed and managed effectively, including continuous monitoring, retraining, and updates based on performance.
- Presales Support: Engage with clients during the presales phase by presenting technical expertise and crafting tailored AI solutions that address their business needs. Participate in proposals, RFPs, and client workshops.
- AI Advisory & Expertise: Act as a trusted advisor for clients, providing insights and recommendations on how AI can transform their business, improve operational efficiencies, and drive innovation.
Job Details
| Posted Date: | 2024-09-23 |
| Job Location: | Qatar – Doha |
| Job Role: | Information Technology |
| Company Industry: | Computer Hardware & High-Tech Manufacture |