Manager of Artificial Intelligence

We are on the hunt for a Lead Artificial Intelligence (AI) passionate about architecting, developing, and supporting advanced AI computing resources and AI-enabled services. The ideal candidate will lead the charge in implementing scalable, high-performance computing infrastructures for AI/ML, collaborating with cross-functional teams to bring innovative AI solutions from conception to deployment.

Roles & Responsibilities

• Architect, design, and implement scalable AI/ML computing infrastructures and application stacks.
• Collaborate with project managers, analyst & business stakeholders to design and deploy AI solutions.
• Develop and demonstrate AI use-cases, conducting training sessions to foster AI adoption.
• Evaluate and implement best practices in AI/ML 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.

Eligibility Criteria

• Master’s degree in Computer Science or Data Science or Information Technology,
• 6+ 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 modelling, and NLP.

Preferred Skillsets

• 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.