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)