Embark on a unique Machine Learning Residency with Nialli, focusing on AI applications for construction project management. This paid 12-month position includes mentorship from leading AI scientists.

As a Machine Learning Resident, you'll collaborate with an interdisciplinary team to explore predictive and prescriptive modeling within construction. You'll engage in transformative research, developing AI tools to forecast risks and enhance project performance. This residency prepares you for potential future employment with Nialli while providing a platform for professional growth in AI.

Key Responsibilities:



• Design and implement predictive models for construction risks • Curate datasets for training and validation of models • Utilize large language models to optimize data processing • Conduct research in ML and generative AI • Collaborate on MVP development and client-focused solutions

Requirements: • MSc or PhD in Computer Science or related field • Proficient in Python and ML frameworks like PyTorch, TensorFlow • Robust background in statistics and model validation • Familiarity with cloud-based AI, especially in Microsoft Azure • Eligible to work in Canada

Leverage your machine learning expertise to impact construction technology as a resident at Nialli. #J-18808-Ljbffr

📌 Machine Learning Residency at Nialli (Winnipeg)
🏢 Amii (Alberta Machine Intelligence Institute)
📍 Winnipeg