Sr. AI Engineer
theapplabb Open · verified Oct 22, 2026 At a glance
Senior AI Engineering role at theapplabb. Toronto · full-time · no salary stated · we estimate CA$128,600–CA$190,175.
theapplabb has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and launch complete machine-learning pipelines for production use
- Design ML systems with PyTorch or TensorFlow, then run them in containers and cloud environments
- Connect training and inference workflows to Snowflake, Databricks or BigQuery
- Work with data science, engineering and product teams to shape requirements and ship AI features
- Set up deployment safeguards, track models in production and improve performance against service targets
What you bring
- At least five years building and launching production ML systems at scale
- Practical knowledge of PyTorch, TensorFlow and managing models through their lifecycle
- Experience with a major cloud platform, Kubernetes, Docker and workflow orchestration
- You can use Python and SQL, and have worked with Snowflake, Databricks or BigQuery
- You understand MLOps practices such as repeatable runs, model monitoring and automated retraining
Who this fits
This senior role suits someone who can build and operate production machine-learning systems and work across data, engineering and product teams. The position is based in Toronto, Canada.
From the employer
About Us:
The AppLabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making.
The Opportunity
Summary
We are seeking an experienced Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions in production environments. You will work closely with data scientists, engineers, and product teams to build robust systems that deliver business-critical AI features. This role requires hands-on expertise in building and operationalizing machine learning models using modern ML frameworks and cloud infrastructure.
What you will do?
- Architect, build, and deploy end-to-end ML pipelines for production workloads.
- Design scalable and resilient ML systems using frameworks such as PyTorch and TensorFlow.
- Operationalize ML models using containerized environments (Docker, Kubernetes) and orchestration tools like Cloud Composer (Airflow) on Cloud Environments (AWS, Azure, GCP)
- Integrate ML solutions with data warehouses like Snowflake, DataBricks or BigQuery for training and inference at scale.
- Collaborate with cross-functional teams to define requirements and deliver impactful AI features.
- Ensure CI/CD best practices for ML deployments, including monitoring, versioning, and rollback strategies.
Optimize model performance and system efficiency to meet production level SLAs.
What you'll need?
- 5+ years of experience designing and deploying production-grade ML systems at scale.
- Strong knowledge of PyTorch, TensorFlow, and modern ML model lifecycle management.
- Hands-on experience with AWS, Azure or GCP.
- Expertise in Kubernetes, Docker, and workflow orchestration tools such as Cloud Composer or Airflow.
- Proficiency with SQL and experience working with Snowflake, DataBricks or BigQuery.
- Solid understanding of MLOps practices: reproducibility, model monitoring, automated retraining.
- Strong programming skills in Python; experience with LangChain, LangGraph, or related frameworks is a plus.
- Excellent communication and leadership skills, with a proven ability to work in collaborative teams.
Competencies
- Experience building RAG (Retrieval-Augmented Generation) or LLM-based systems in production.
- Knowledge of distributed systems and streaming data pipelines.
- Certifications in Cloud Architectures
Why Join Us?
• Work on large-scale cloud-based data platforms with cutting-edge technologies.
• Collaborate with a dynamic, innovative, and data-driven team.
• Competitive salary
• Opportunities for career growth and continuous learning.
Why you’ll love TheAppLabb?
We are proud to be certified as a “Great Place to Work, Canada”. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAppLabb, our culture is geared towards creativity, collaboration, and flexibility.
· Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)
· We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company
· TheAppLabb’s strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.
At TheAppLabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.
Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at jobs@theapplabb.com.
So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.