Senior AI Developer- 25-004

• Contract duration: 12 months
• Location: On site, Darlington, ON.
• Pay rate: $70.00- $85.00 per hour/ INC.
• 35 hours per week.

We are recruiting for a Senior AI Developer to join our client who is a leader in generating clean, safe, reliable, and low-cost power in the province of Ontario, Canada. This is an initial 12-month contract and based on site in Darlington, ON.

Responsibilities include:

• Collaborate with cross-functional teams to execute AI projects by translating business needs into technical specifications. Use methodologies like Agile and Scrum to ensure alignment with business objectives and effective communication throughout the process.
• Design and architect AI solutions from concept to deployment, leading the development and implementation of cutting-edge AI/ML models.
• Contribute to the creation and support of AI governance frameworks, promoting responsible AI practices, risk management, and best practices in data and analytics.
• Drive AI education and communication initiatives to ensure employees at all levels understand the potential, benefits, and implications of AI. Lead change management efforts to foster a culture of AI adoption and continuous learning.
• Apply advanced data science techniques, including Large Language Models (LLMs), Machine Learning, Reinforcement Learning, Deep Learning, and Optimization, to solve complex business problems.
• Train, deploy, and manage AI/ML models and solutions, leveraging techniques like logistic regression, decision trees, clustering, Bayesian networks, and Generative AI methods, including Retrieval-Augmented Generation (RAG), fine-tuning, and prompt engineering.
• Implement best practices in software engineering, such as CI/CD, version control, test-driven development, and MLOps/DevOps methodologies, to ensure scalability and reliability.
• Build end-to-end pipelines and deploy models in production environments using MLOps practices.
• Provide mentorship to junior team members and participate in architecture and code reviews to maintain high-quality standards.
• Conduct data cleaning, quality assurance, and feasibility studies to ensure data readiness for AI/ML applications.

Skills and experience required:

• Preferred 4–6 years of experience in Artificial Intelligence (AI), Machine Learning (ML), and statistical modeling.
• Proven track record of delivering business value through AI/ML solutions, including successfully deploying machine learning models into production.
• Hands-on experience developing and delivering data science solutions using Python and its major libraries/tools.
• Strong understanding of software engineering principles and MLOps best practices.
• Proficiency in version control systems such as Git.
• Demonstrated ability to communicate insights and business value from data science projects to non-technical stakeholders.
• Experience building and maintaining data pipelines for preprocessing and cleaning large datasets, preferably using Spark.
• Desirable- Familiarity with Azure cloud development environments and tools like Databricks.