Chief Artificial Intelligence Architect

23 hours ago

Islamabad, Islamabad, Pakistan beBeeAIEngineer Full time $120,000 - $150,000
Artificial Intelligence Engineer Role

This is an exciting opportunity to work on cutting-edge AI and machine learning projects. As a skilled engineer, you will be responsible for designing and developing innovative AI solutions using conventional and generative models.

The ideal candidate should have strong expertise in both ML and AI, with hands-on experience in building and deploying scalable AI solutions. They should also be familiar with cloud platforms such as GCP, Azure, or AWS, and leverage advanced AI services to enhance the capabilities of AI systems.

Key responsibilities include:

  • Designing and developing AI/ML solutions using conventional and generative models.
  • Building, fine-tuning, and deploying Generative AI solutions in production environments, including LLMs and text-to-SQL models.
  • Implementing ML model optimization techniques to ensure high performance and scalability.
  • Managing the end-to-end ML lifecycle, from data preprocessing and model development to deployment and monitoring.
  • Leveraging Python scientific computing libraries such as pandas, NumPy, scikit-learn, and matplotlib for data analysis and model building.
  • Applying MLOps practices to streamline ML model development, deployment, and maintenance.
Qualifications
  • Minimum 3+ years of experience in Machine Learning and Artificial Intelligence.
  • Hands-on experience with Python scientific computing libraries (pandas, numpy, scikit-learn, matplotlib, etc.).
  • Strong understanding of the Machine Learning lifecycle and conventional ML models.
  • Practical experience with Generative AI models and architectures, including large language models (LLMs), text-to-SQL models, and other generative frameworks.
  • Solid knowledge of ML model optimization techniques for performance and scalability.
  • Experience with MLOps practices and tools.
  • Familiarity with cloud platforms such as GCP, Azure, or AWS.
  • Knowledge of retrieval-augmented generation (RAG) techniques and their application in AI solutions.
  • Experience working with AI services such as speech-to-text, document AI, and other cognitive services.
  • Strong foundation in mathematics and statistics.
  • Excellent communication and collaboration skills.
  • Passionate about researching and applying emerging AI/ML technologies to solve real-world challenges.

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