Senior AI Developer

Cpus Engineering Staffing Solutions Inc.; Courtice; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative company is seeking a Senior AI Developer to lead the design and implementation of cutting-edge AI solutions. In this role, you will collaborate with cross-functional teams to translate business needs into technical specifications, ensuring that AI initiatives align with organizational goals. Your expertise in machine learning, data science methods, and software engineering practices will be crucial as you architect and deploy advanced AI models. This position offers the opportunity to mentor junior team members and drive a culture of AI adoption within the organization. If you are passionate about AI and eager to make a significant impact, this role is perfect for you.

Qualifications

• 4-6 years of experience in AI/ML and statistical modeling.
• Proven experience deploying ML models to production.

Responsibilities

• Architect and design AI solutions, leading development of AI/ML models.
• Support AI governance frameworks and champion AI education initiatives.

Skills

Artificial Intelligence (AI)

Machine Learning (ML)

Statistical Modeling

Data Science Methods

Communication with Non-Technical Stakeholders

Change Management

Data Cleansing

Mentoring

Education

Bachelor's Degree in Computer Science or related field

Master's Degree in AI/ML or related field

Tools

Python

Git

Azure

Databricks

Spark

Job description

We are currently requesting resumes for the following position: Senior AI Developer

Resume Due Date: Friday, January 10^th, 2025 (5:00PM EST)

Job ID: 25-004

Number of Vacancies: 1

Level: MP4

Duration: 12 Months

Hours of work: 35

Location: Darlington Energy Complex, ON

Work Mode: 100% onsite

Job Overview

• Support cross-functional teams to drive AI 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 AI solutions from inception to deployment, leading the development and implementation of advanced AI/ML models.
• Support the development of AI governance frameworks, advocating for responsible AI, risk management, and best practices in data and analytics.
• Champion AI communication and education initiatives, ensuring employees at all levels understand the capabilities, benefits, and implications of AI. Drive change management efforts to foster a culture of AI 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 AI/ML models and solutions, such as logistic regression, decision trees, clustering, Bayesian networks, and Generative AI techniques, including Retrieval Augmented Generation (RAG), fine-tuning, and prompt engineering.
• Apply best practices in software engineering, including CI/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 AI/ML solutions.

Qualifications

• Minimum experience of over 4 years and up to and including 6 years is considered necessary in Artificial Intelligence (AI), Machine Learning (ML), and statistical modelling.
• Proven experience driving business value as a Data Scientist or AI/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.

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 invite all qualified individuals to apply, offering accommodations during the application, interview, and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.