RESPONSIBILITIES AND DUTIES:

• Architect, design, and implement scalable AI/ML computing infrastructures and application stacks.
• Collaborate with scientists, data analysts, and business stakeholders to design and deploy AI solutions.
• Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption.
• Evaluate and implement best practices in AI/ML, data mining, and analytics.
• Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.
• Provide expert consultation on AI-related standards, best practices, and governance frameworks.
• Lead disaster recovery and business continuity planning for AI computing infrastructure.
• Stay updated with emerging technologies in AI and ML to enhance institutional capabilities.

Minimum Education:

• Master’s degree in Computer Science, Computer Engineering, Data Science, Information Technology, or related field. PhD preferred.

Minimum Experience:

• 5+ years in high-level architecture design and solution development for large-scale AI/ML systems.
• Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modeling, and NLP.
• Proven track record in industry use cases utilizing deep and machine learning techniques.

SPECIAL SKILLS,KNOWLEDGE AND ABILITIES: Lead Artificial Intelligence (AI) Engineer

• Expertise in predictive analytics, machine learning, deep learning architectures, and text analytics with NLP.
• Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps.
• Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments.
• Exceptional communication skills to articulate technical solutions to both technical and non-technical audiences.
• Strategic thinking in systems capacity planning, hardware and software updates, and migration.