AI / ML Engineer
Pythian View all jobs
- Canada
- Permanent
- Full-time
- Develop, deploy, and maintain robust AI and machine learning pipelines for internal and client-driven projects.
- Deploy, manage, and scale AI models, including pre-trained models (e.g., LLMs) and custom ML models, into production environments.
- Work with data scientists to implement model prototypes into scalable, production-ready AI systems.
- Optimize and tune model performance, latency, and cost-efficiency on cloud platforms.
- Integrate AI/ML solutions with major cloud platforms (AWS, GCP, Azure) and utilize containerization technologies (Docker, Kubernetes) for consistent deployment.
- Apply standard MLOps practices, including continuous integration/continuous delivery (CI/CD), model versioning, monitoring, and maintenance systems.
- Coordinate with software engineering teams to ensure seamless integration of AI capabilities into applications and user workflows.
- Stay up to date with advancements in AI/ML technologies, Generative AI, and MLOps deployment strategies.
- Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field.
- 2 to 5 years of progressive experience in machine learning engineering, software development with an ML/AI focus, or a related role.
- Strong programming skills in Python and proficiency in ML/AI frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Hands-on experience in deploying and working with pre-trained models, such as Large Language Models (LLMs) or similar Generative AI technologies, into production environments.
- Solid experience with cloud platforms (AWS, GCP, Azure) and container orchestration using Docker and Kubernetes.
- In-depth knowledge of Data Engineering principles, ETL/ELT processes, and version control systems (e.g., Git).
- Experience in orchestrating Machine Learning pipelines using open-source tools like Kubeflow or managed cloud services.
- Experience in building and optimizing scalable AI/ML systems.
- Familiarity with MLOps best practices, including model monitoring, logging, and CI/CD pipelines for AI assets.
- Strong communication and teamwork skills, with an ability to work effectively across cross-functional teams including solution architects and data scientists.
- Love your career: Competitive total rewards package.
- Love your coworkers: Collaborate with some of the best and brightest in the industry!
- Love your development: Hone your skills or learn new ones with our substantial training allowance; participate in professional development days, attend training, become certified, whatever you like!
- Love your workspace: We give you all the equipment you need to work from home including a laptop with your choice of OS, and an annual budget to personalize your work environment!
- Love yourself: Pythian cares about the health and well-being of our team. You will have an annual wellness budget to make yourself a priority (use it on gym memberships, massages, fitness and more). Additionally, you will receive a generous amount of paid vacation and sick days, as well as a day off to volunteer for your favorite charity.
- The successful applicant will need to fulfill the requirements necessary to obtain a background check.
- Accommodations are available upon request for candidates taking part in any aspect of the selection process.
- Pythian is looking to fill this position as soon as possible as this position is for an active and open position.