AI Infrastructure Lead

5 days ago


Doha, Baladīyat ad Dawḩah, Qatar Byanat Full time

We are looking for a highly skilled and experienced Senior AI Engineering Manager to lead our efforts in developing the next generation of AI-first deep infrastructure analytics tools. In this role, you will be responsible for leading the architecture and development of our AI-first platform, ensuring the seamless integration of front-end and back-end technologies while guiding a multidisciplinary team toward building robust and intuitive products.

Key Responsibilities
  • Develop and deploy advanced AI models and algorithms, including machine learning, deep learning, and reinforcement learning techniques, to solve complex infrastructure challenges and provide actionable insights to customers.
  • Define and drive the AI strategy, aligning it with overall product and business goals, and ensure it meets the evolving needs of our customers and market.
  • Guide and mentor a team of developers, data scientists, and UX designers, fostering a culture of collaboration, innovation, and excellence.
  • Drive the development and deployment of machine learning models and AI solutions, ensuring scalability, performance, and maintainability.

In order to succeed in this position, you must have a strong background in AI engineering and a proven track record of leading cross-functional teams and driving AI projects from inception to deployment. You should also be passionate about understanding customer needs and translating them into effective platform solutions.

Requirements
  • Bachelor's degree in Computer Science (or related field) or equivalent professional experience. Preferably Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • 7+ years of development experience, with a strong focus on AI and machine learning. Out of which 4+ years of experience in AI engineering or machine learning roles, with a strong focus on deploying models in production environments.
  • Experience in leading AI R&D efforts, from ideation to deployment of AI models and solutions.
  • Advanced programming skills in Python, R, or similar languages, with experience in developing and deploying AI models.
  • Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, and Scikit-learn.


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