Senior Genai Developer (Azure)

SENIOR DATA SCIENCE DEVELOPER (Azure & Generative AI;
Enterprise AI & Data Centre of Excellence)Requisition #:
R26-3631 (RQ00244)
Location:
Hybrid (3 days onsite / 2 days WFH;
Toronto, ON – *See WorkModel)
Engagement Type:
Contract
Number of Resources required:
1
Term:
2026-11-23 to 2027-05-23 (130 days) with possible extension
Rate (CAD):
Up to $80.00 per hour / Commensurate with related experience and market competitiveness
Hours per day:
7.25
Security Screening:
Standard (Criminal Record Check)
————————————————————————
Tri-global Solutions Group Inc. is seeking one (1) Senior Data Science Developer to join our talented Service Delivery team within Metrolinx.
WORK MODEL:
The successful contractor will be working hybrid with 3 days in office at 277 Front Street West, Toronto, Ontario and 2 days remote/work from home per week.
Please review the project overview, description of services, and requirements below.
Thank you.
Tri-global Solutions Group Inc.
Website:
————————————————————————
PROJECT OVERVIEWThe 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.
DESCRIPTION OF SERVICESKey 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.
MANDATORY REQUIREMENTS (Candidates must meet all requirements below)
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. Tech stack: Python, SQL, LLM, Power Automate, VSCode, Git, Jira, Azure (mainly OpenAI, Copilot Studio and Foundry), Databricks.
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.
NOT FOR YOU?Check out our other opportunities at or follow us on LinkedIn. We thank all candidates in advance. Only candidates selected for an interview will be contacted.
WHY WORK WITH TRI-GLOBAL?
Empower positive change by enabling our clients to revolutionize innovation and technology, elevating them to a higher level of excellence and efficiency.
Join an exceptional and committed team that redefines the landscape, forging a distinctive path towards success.
Engage in stimulating and captivating projects that push boundaries and keep you constantly motivated.
#J-18808-Ljbffr