Description

You will design and implement AI strategies and infrastructure to meet business objectives.

This role is on-site.

Responsibilities

• Define AI strategy and align it with business goals.
• Architect secure AI infrastructure on cloud or on-premises environments.
• Select and implement AI frameworks and algorithms for specific use cases.
• Lead AI engineers and data scientists through model development, testing, and deployment.
• Integrate AI solutions into existing systems and monitor performance for scalability.

Required Skills

• 5+ years of experience designing and implementing AI solutions.
• Proficiency in Python and R.
• Hands-on experience with TensorFlow and PyTorch.
• In-depth knowledge of machine learning algorithms, including deep learning, NLP, and computer vision.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of system design principles.
• Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Preferred Skills

• AWS Certified Machine Learning Specialty.
• Google Certified Professional Cloud Machine Learning Engineer.

Key Skills

Education

Master’s degree