Senior Actuarial Data Scientist, AI Risk
Toronto, ONArmilla AI
Candidates need strong insurance and actuarial knowledge, including risk modeling, pricing and reserving, plus a solid data science background in statistical modeling and machine learning. Expert Python skills with Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch are essential, and LLM familiarity is a strong asset.
Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch
Applied Scientist, AI Risk
Toronto, ONArmilla AI
Candidates need a Master's or PhD in computer science, machine learning, statistics or a related field, with applied AI/ML research experience. They also need strong Python skills, hands-on experience with deep learning frameworks, and familiarity with LLM evaluation and safety.
Python, PyTorch, TensorFlow, JAX, NumPy, Pandas
AI Engineer
Toronto, ONArmilla AI
Candidates need a proven record in software development, knowledge of the AI model lifecycle and model evaluation, experience with ML projects, and strong Python skills. Cloud deployment experience on AWS, GCP or Azure and familiarity with ML frameworks are also required.
Python, TensorFlow, PyTorch, scikit-learn, AWS, GCP