Lead Software Engineer - AI Job-Specific Responsibilities:Develop production-ready software solutions that solve real business problems, considering business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiativesApply software engineering, data science, machine learning, and AI techniques to derive business value from the full range of internal and external data, leveraging Cloud-based technologyDesign solutions, build initial code, and provide documentation with ways of working to minimize time to value and maximize re-usabilityTranslate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementationCommunicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-inIdentify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new software engineering, data science, machine learning, and AI technologies and tools that can boost team performance, innovation, and business valueManage, coach, and mentor a team of software engineers and data scientists, serving as a predominant technical expertActively contribute to and re-use community best practicesBuild trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.This role is responsible for other duties as assigned.Qualifications Basic Qualifications:Minimum of seven years’ post-secondary education or relevant work experienceAdditional Qualifications and Skills:Required skillsBachelor’s/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 7+ years equivalent work experience3-5 years of experience in developing a variety of software products in a commercial environment2+ years of experience in building generative AI-based products.Strong Python and Typescript/JavaScript skills required;Expertise in multivariate statistical modelling (e.g., clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and modern machine learning (ensemble methods, regularization, gradient boosting, representation learning, deep neural networks, transformers architectures, self-supervised learning, and MLOps fundamentals) requiredExperience with cloud computing platforms (AWS, GCP, or other), or equivalent on-premise platformExperience working in agile methodology is requiredPrior experience in leading data science and machine learning based software development projects focused on solving business problems and seizing business opportunitiesDesired skillsProficiency in SQL desirableAbility to mentor and lead others; provide hands-on technical guidance; conduct code reviewsAbility to simultaneously coordinate and track multiple deliverables, tasks, and dependencies across multiple stakeholders / business areasExperience with deep learning and neural network architectures (e.g., CNNs, RNNs, transformers), including generative and self-supervised models, and with frameworks such as TensorFlow or PyTorch is desirable.Proficiency with data visualization tools is desirable