Description

Job Description:

Responsibilities

  • Define the overall AI strategy, aligning it with business goals and objectives.
  • Design and architect secure, high-performance AI infrastructure on cloud platforms or on-premises environments.
  • Select and implement appropriate AI frameworks and algorithms for specific business use cases.
  • Lead and collaborate with AI engineers and data scientists to develop, test, and deploy AI models.
  • Integrate AI solutions with existing systems and applications.
  • Monitor and optimize the performance of AI systems, ensuring accuracy, efficiency, and scalability.
  • Advocate for and implement responsible AI practices, considering ethical implications and potential biases.
  • Stay current with emerging AI trends and technologies, identifying opportunities for innovation.
  • Develop and maintain technical documentation for AI systems and architectures.

Qualifications

  • Master's degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience).
  • Minimum 5+ years of experience in designing and implementing AI solutions.
  • Proven experience with leading AI frameworks (TensorFlow, PyTorch, etc.) and programming languages (Python, R).
  • In-depth knowledge of machine learning algorithms (deep learning, natural language processing, computer vision, etc.).
  • Experience with cloud platforms (AWS, Azure, GCP) and/or on-premises infrastructure for AI deployments (a plus).
  • Strong understanding of system design principles and best practices.
  • Excellent communication, collaboration, and leadership skills.
  • Ability to translate business needs into technical solutions.
  • Passion for innovation and a forward-thinking mindset.

Certifications (Preferred):

  • Professional certifications in AI or machine learning (e.g., AWS Certified Machine Learning Specialty, Google Certified Professional Cloud Machine Learning Engineer)

Education

Master’s degree