Rq00244 - Data Science Developer - Senior

Client: Metrolinx – RQ00244We are seeking a highly skilled
Senior Data Science Developer
with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and machine learning. The ideal candidate will have strong experience with Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, Azure AI services, APIs, prompt engineering, and production AI development. The successful candidate will design, develop, and implement enterprise AI solutions, intelligent agents, and reusable AI components while accelerating the delivery of priority AI use cases and establishing scalable, secure, and production-ready AI capabilities across the organization.Role Snapshot
Job Title: RQ00244 – Data Science Developer – SeniorClient: MetrolinxWork Location: 277 Front Street West, Toronto, Ontario, CanadaWork Arrangement: Hybrid – 3 Days per Week OnsiteEstimated Start Date: November 23, 2026Estimated End Date: May 23, 2027Business Days: 130.00Hours: 7.25 hours per dayPublic Sector Experience: Preferred but not requiredMust Have
Advanced hands-on expertise in Python, software engineering, LLMs, RAG, agentic AI, APIs, prompt engineering, model evaluation, and production AI development.Strong hands-on experience with Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, Azure AI services, and cloud-based AI solution development.Experience with the following technology stack:
PythonSQLLarge Language Models (LLMs)Power AutomateVisual Studio Code (VS Code)GitJiraAzure, mainly OpenAI, Copilot Studio, and FoundryDatabricks
Strong technical foundation in statistics and machine learning, including classification, regression, clustering, feature engineering, model evaluation, and ML pipelines, with demonstrated ability to develop solutions that achieve measurable performance.Description
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.Work Arrangement & Additional Information
Work Arrangement: Hybrid.Onsite Requirement: 3 days per week at the client's Toronto office.Public Sector Experience: Preferred but not required.
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