Senior AI Developer

CPUS Engineering Staffing Solutions Inc.; Courtice; On-site; CAD 80,000 - 110,000; Full time

Job summary

Une entreprise de pointe en ingénierie de solutions de personnel recherche un expert en intelligence artificielle. Ce rôle se concentre sur la conception, le déploiement et la communication des solutions d'IA et de ML. Les candidats idéaux auront une expérience solide dans la science des données et des antécédents prouvés dans la livraison de valeur commerciale à travers des projets d'IA réussis.

Qualifications

• 4-6 ans d'expérience en IA, ML et modélisation statistique requis.
• Expérience en création de produits de data science en Python.
• Connaissance des principes MLOps et des meilleures pratiques de développement logiciel.

Responsibilities

• Architecturer et concevoir des solutions IA.
• Supporter le développement de cadres de gouvernance IA.
• Former et gérer des modèles AI/ML.

Skills

Data Science

Machine Learning

Statistical Modelling

Data Cleansing

Agile

Scrum

Communication

Tools

Python

Azure

Databricks

git

Job description

• Support cross-functional teams to drive Al project execution, translating business requirements into technical specifications. Ensure alignment with business objectives through effective communication and methodologies like Agile and Scrum.
• Architect and design Al solutions from inception to deployment, leading the development and implementation of advanced Al / ML
• Support the development of Al governance frameworks, advocating for responsible Al, risk management, and best practices in data and analytics.
• Champion Al communication and education initiatives, ensuring employees at all levels understand the capabilities, benefits, and implications of Al. Drive change management efforts to foster a culture of Al adoption and continuous learning
• Apply expertise in data science methods, including Large Language Models, Machine Learning, Reinforcement Learning, Deep Learning, and Optimization.
• Train, deploy, and manage Al / ML models and solutions, such as logistic regression, decision trees, clustering, Bayesian networks, and Generative Al techniques, including Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering.
• Apply best practices in software engineering, including Cl / CD, version control, test-driven development, and MLOps / DevOps.
• Implement MLOps practices to build end-to-end pipelines and deploy models in production.
• Mentor junior team members and participate in code and architecture reviews.
• Conduct data cleansing activities and data quality management, including performing feasibility studies to ensure data suitability for Al / ML solutions.

Qualifications

• Minimum experience of over 4 years and up to and including 6 years is considered necessary in Artificial Intelligence (Al), Machine Learning (ML) and statistical modelling.
• Proven experience driving business value as a Data Scientist or Al / ML Developer, including deploying ML models to production (estimated 4-6 years in the field).
• Experience building and delivering data science products in Python, and familiarity with major libraries / tooling.
• Familiarity with Software Engineering and MLOps best practices.
• Familiarity with version control software such as git.
• Experience with communicating business value from data science projects to non-technical stakeholders.
• Experience with building and managing data pipelines that perform preprocessing and cleaning tasks on large datasets in Spark.
• Experience with Azure and cloud development environments such as Databricks.