AI Engineer - Architect

November 10

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Integrated Talent Solutions • Strategic Workforce Planning • HR and Talent Strategy • Strategy and Implementation consulting • Workforce Strategy

11 - 50

Description

• Architect scalable AI solutions that integrate seamlessly with our learning platforms and tools and oversee their development. • Identify opportunities where AI can add value and create roadmaps for implementation. • Evaluate and select the most suitable tools, platforms, and technologies aligning with our business goals. • Analyze and preprocess large datasets to extract meaningful insights. • Work with cross-functional teams to understand business needs, define project requirements and ensure successful implementation of AI solutions. • Stay abreast of emerging AI trends, tools, and methodologies, and apply this knowledge to assess their applicability to our mission and objectives.

Requirements

• Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. • Thought Leadership in Artificial Intelligence and Machine Learning. • Proven experience in designing and developing AI/ML models and applications. • Strong understanding of data structures, algorithms, and statistical methods. • Proficiency in programming languages such as Python, Java, and C++. • Experience with AI tools and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and SQL databases. • Familiar with the integration of different systems and the use of APIs. • Strong analytical and problem-solving skills, with a focus on translating complex technical concepts into practical applications. • Understanding of version control systems (e.g., Git). • Excellent communication and collaboration skills.