job specification

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 initiatives
• Apply 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 technology
• Design solutions, build initial code, and provide documentation with ways of working to minimize time to value and maximize re-usability
• Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation
• Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in
• Identify 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 value
• Manage, coach, and mentor a team of software engineers and data scientists, serving as a predominant technical expert
• Actively contribute to and re-use community best practices
• Build 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 experience

Additional Qualifications and Skills:

Required skills

• Bachelor’s/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 7+ years equivalent work experience
• 3-5 years of experience in developing a variety of software products in a commercial environment
• 2+ 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) required
• Experience with cloud computing platforms (AWS, GCP, or other), or equivalent on-premise platform
• Experience working in agile methodology is required
• Prior experience in leading data science and machine learning based software development projects focused on solving business problems and seizing business opportunities

Desired skills

• Proficiency in SQL desirable
• Ability to mentor and lead others; provide hands-on technical guidance; conduct code reviews
• Ability to simultaneously coordinate and track multiple deliverables, tasks, and dependencies across multiple stakeholders / business areas
• Experience 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