Data Science Developer

Data Science Developer

Toronto, ON (3 days onsite)

6 Months with possible extension

The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role will accelerate delivery of priority AI use cases and establish reusable capabilities that reduce reliance on one-off solutions and external resources.

Key Responsibilities

• Design, develop, test, and implement GenAI applications, intelligent agents, and AI-enabled solutions for priority business use cases.
• Build reusable AI components, services, APIs, and solution patterns that can be leveraged across multiple business areas.
• Develop solutions using large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and related AI techniques.
• Integrate AI solutions with enterprise data sources, applications, APIs, and business workflows.
• Develop prototypes and proofs of concept and evolve successful solutions toward secure, scalable, production-ready implementations.
• Partner with Product Managers, Data Scientists, Data Engineers, Data Architects, and business teams to translate requirements into working AI solutions.
• Apply software engineering practices including version control, testing, documentation, CI/CD, monitoring, and performance optimization.
• Evaluate AI solution performance, reliability, accuracy, and scalability and continuously improve implemented solutions.
• Incorporate Responsible AI, privacy, security, and data governance requirements into solution design and development.
• Contribute to reusable enterprise AI patterns, development standards, technical documentation, and knowledge transfer to strengthen internal AI capability.

Qualifications & Experience

• Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent experience.
• Significant experience in AI, machine learning, data science development, or software engineering.
• Strong programming skills, particularly Python and SQL, with experience developing production-quality applications.
• Experience developing solutions using LLMs, GenAI, RAG, AI agents, machine learning, and APIs.
• Experience integrating AI solutions with enterprise applications and data platforms.
• Knowledge of cloud-based AI platforms, software development practices, APIs, Git, CI/CD, testing, and monitoring.
• Understanding of prompt engineering, model evaluation, Responsible AI, security, privacy, and AI governance.
• Strong analytical, problem-solving, communication, and collaboration skills.