Join Us in Driving a Safer and Greener Tomorrow as an AI Developer at ArcelorMittal Tailored Blanks!

Position: AI Developer Location: Oxford County, ON Vacancy: Our manufacturing facility is designed with cutting-edge technology and innovation at its core. As a leader in the automotive industry, we are committed to excellence, efficiency, and the future of advanced manufacturing. At AMTB, we’re not just transforming the automotive industry—we’re making a real difference in the world, and we want you on our team!

Every part you help create plays a crucial role in saving lives. Our creative, lightweight components enhance vehicle safety and performance, ensuring that drivers and passengers are better protected in crashes. With materials that are 100% recyclable, you’ll be proud to know that your efforts are helping to create a healthier environment for future generations.

Recognized as a "Great Place to Work" for three years running, and with multiple awards as one of the best companies to work for, our culture is built on values that promote collaboration, respect, and inclusion. With extensive training and dual career paths, you can advance as a technical expert or in leadership roles—whatever aligns with your aspirations. Our generous bonus structure rewards your contributions and the collective achievements of our team.

Diversity Matters: Our commitment to a diverse workforce fosters an inclusive environment where unique perspectives drive innovation and creativity. If you're ready to feel good about the work you do and help shape a safer, more sustainable future, AMTB is the place for you! Discover more about us at our website .





The AI Developer supports the organization’s artificial intelligence initiatives by researching emerging technologies and assisting with the development and implementation of AI-powered solutions. This role blends technical expertise with forward-thinking solutions and requires someone who is equally comfortable evaluating cutting-edge tools as they are getting their hands dirty in the platform. In the near term, the focus is on individual contributions, doing research, making tool decisions, and building solutions directly.

Continuously monitor and evaluate the latest advancements across AI vendors and platforms, including Microsoft, Anthropic, OpenAI/GPT, Perplexity, and others. Identify and assess emerging technologies across priority AI domains, with an initial focus on: Conversational AI — chatbots and tailored AI assistants (e.g., Claude, custom LLM deployments); Machine Learning — researching and evaluating emerging machine learning technologies, frameworks, and techniques, such as LLMs, generative AI, PyTorch, TensorFlow, and other advancements, to identify opportunities for improving our products and capabilities Big Data & AI Infrastructure — assessing platforms like Databricks vs. competing large data platforms for data aggregation and AI readiness. ~ Support the design and implementation of AI workflows and solutions end-to-end. Operate hands-on within platforms — learning, mapping, and building solutions directly before scaling them to a broader team.





Bridge business needs and technical execution, ensuring solutions deliver measurable value.

Performance

Optimization - Monitor and improve model performance, efficiency, scalability, and resource utilization. Data Preparation - Collect, clean, transform, and analyze data to ensure it is suitable for machine learning applications. Experimentation - Develop and run experiments to compare different models, approaches, and techniques and determine the most effective solutions.

Proficiency with modern AI/ML ecosystems and key vendors across conversational AI, machine vision, and data platforms. Strong programming skills in Python and experience with libraries such as PyTorch, TensorFlow, scikit-learn, NumPy, and Pandas.

Experience working with large datasets, SQL, and data processing pipelines. Hands-on experience building and deploying AI solutions. Familiarity with Git, Docker, APIs, and cloud platforms such as AWS, Azure.

Experience taking ML projects from experimentation/prototyping through to production is an asset.

Experience working with LLMs, generative AI, NLP, computer vision, or other relevant AI technologies. able to translate technical concepts for non-technical stakeholders. Exposure to industrial, manufacturing, or heavy industry environments is preferred. Bachelor’s degree in computer science, Engineering, Data Science, or a related field or diploma equivalent.

Qualified applicants will receive consideration for employment without regards to race, color, age, religion, sex, or national origin. Upon request, accommodations are available for applicants with disabilities throughout the recruitment process. AI tools may be used to screen applications. #

📌 Data Quality developer, PYTHON (Vancouver)
🏢 Amtbna
📍 Vancouver