Job# 25-004Client: Energy Industry ClientResume Due Date: Friday, January 10th, 2025 (5:00PM EST)Number of Vacancies: 1Level:Senior- MP4Contract Duration: 12 Months, extendableHours of work:35 hrs per weekLocation:Darlington Energy Complex, Bowmanville, Ontario (100% onsite)Employment Type: Incorporated ContractorJob OverviewSupport 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 models.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.QualificationsMinimum 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.(Nice-to-have) Experience with Azure and cloud development environments such as Databricks.Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our clients long-term strategy for equity, diversity, and inclusion.
Job Title
Senior AI Developer