artificial intelligence (AI) consultant

"If you are interested in the application of predictive and prescriptive machine learning for construction project management, this is the right opportunity for you. Be a part of the team of research and machine learning scientists building a next-generation AI intelligence platform for construction from the ground up and get mentored by some of the best minds in AI during the process." -Soumik Farhan, Machine Learning Scientist, Advanced TechnologyAbout the RoleThis is a paid residency that will be undertaken over a 12-month period with the potential to be hired by our client, Nialli, afterwards (note: at the discretion of the client). The Resident will report to an Amii Scientist and regularly consult with the client team to share insights and engage in knowledge transfer activities. Successful candidates will be members of a cross-functional project team with backgrounds in ML research, project management, software engineering, and new product development. This is a rare opportunity to be mentored by world-class scientists and to develop something truly impactful.About the ClientNialli is a fast-growing Calgary-based technology company developing next-generation, AI-powered solutions for the construction industry. Its platform brings together project data, intuitive visualization, and artificial intelligence to help construction teams improve collaboration, identify risks earlier, and make faster, better-informed decisions.The company operates in a highly iterative, product-driven environment where new ideas are rapidly designed, tested, and validated. Nialli works closely with leading construction firms across North America and the United Kingdom to develop Proofs of Concept, evaluate emerging AI capabilities, and translate promising innovations into practical tools that address real-world project management challenges.Learn more at nialli.com.About the ProjectThis project will support Nialli's artificial intelligence research and commercialization program focused on transforming construction project data into predictive, prescriptive, and continuously improving intelligence. The work will explore how machine learning can help construction teams anticipate project risks, identify schedule and productivity issues earlier, recommend corrective actions, and learn from the outcomes of those recommendations. Research areas may include construction-specific AI and knowledge systems, predictive risk modelling, recommendation engines, portfolio benchmarking, and agentic systems that can monitor projects and perform routine analysis. The goal is to translate this research into practical, customer-facing capabilities that move Nialli beyond reporting and analytics toward an AI-powered platform that helps project teams make better decisions and improve project performance over time.Required Skills / ExpertiseAre you passionate about building great solutions? You'll be presented with opportunities to both personally and professionally develop as you build your career. We're looking for a talented and enthusiastic individual with a solid background in machine learning, specifically generative AI, predictive modeling, or LLM agentic systems.. Key Responsibilities: Design, implement, optimize, and evaluate models for predictive risk detection, prescriptive recommendations, or AI-assisted workflow tasks in the construction domain. Prepare, curate, and preprocess high-quality datasets for training or fine-tuning, and validating models. Utilize state-of-the-art Large Language Models (LLMs), retrieval-augmented generation (RAG), agentic systems, and ML frameworks, tools and open-source libraries to enhance model performance, accelerate workflows, and optimize data processing. Undertake applied research on ML and generative AI / natural language processing techniques to address the limitations in existing models. Optimize ML pipelines to ensure efficiency, scalability, and real-time processing capabilities. Collaborate with the project team

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Sep 14, 2026