Jobs / Tetra Tech
Ingénieur(e) IA senior – ML, MLOps et applications IA
Tetra Tech · Quebec City, QC, Canada
Quebec City, QC, CanadaHybrid
Remuneration
Not specified
Location
Quebec City, QC, Canada
Visa sponsorship
Not specified
Job summary
Tetra Tech is seeking a Senior AI Engineer to lead the design, industrialization, and integration of applied artificial intelligence solutions, including machine learning models and automation processes.
Qualifications
- Professional experience in developing machine learning or artificial intelligence solutions
- Strong mastery of supervised and unsupervised ML, deep learning, NLP, computer vision, and generative models
- Excellent mastery of Python and ML/AI ecosystems
- Experience in data preparation, feature engineering, and dataset manipulation
- Experience with at least one AI cloud platform
- Experience with model serving and deploying models via API
- Experience with experiment tracking, model registry, and versioning of data and models
- Strong software development practices
- Ability to collaborate effectively with multidisciplinary teams
- Ability to design maintainable and scalable AI architectures
- High autonomy, delivery rigor, and ability to structure work
- Ability to work with engineering, IT, data, innovation, and operations teams
- Understanding of security, privacy, access management, and responsible data use in enterprise AI solutions
Responsibilities
- Collaborate with internal teams to transform operational problems into concrete AI solutions
- Train, fine-tune, evaluate, and optimize ML and deep learning models
- Structure datasets and define strategies for annotation, cleaning, versioning, data augmentation, and quality control
- Develop and maintain reproducible data, training, evaluation, deployment, and monitoring pipelines
- Define reference architectures for AI solutions with IT
- Develop or contribute to the development of ready-to-use AI applications
- Design and integrate AI agents or agent workflows
- Design solutions based on large language models
- Define evaluation protocols for AI models and applications
- Implement production monitoring
- Work with IT to align AI solutions with enterprise standards
- Produce usable documentation
- Contribute to the technical governance of AI solutions
- Plan and track technical work in a structured backlog
Skills
AWSAzureChefDatabricksDockerGitPythonGCP
Degrees
Diplôme universitaire en informatiqueGénie logicielScience des donnéesMathématiques appliquéesGénie ou domaine connexe
Relocation
No