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.
