Sr. AI Engineer

TheAppLabb; Toronto; On-site; CAD 110,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Opportunities for career growth

Fitness challenge incentives

Job summary

A cutting-edge digital solutions provider in Toronto seeks a Senior Machine Learning Engineer to design, develop, and deploy scalable ML solutions. You will work closely with cross-functional teams, optimizing model performance and ensuring best practices in ML deployments. Candidates should have over 5 years of experience, expertise in modern ML frameworks, and cloud infrastructure knowledge. This role offers a competitive salary and opportunities for career growth within an innovative, inclusive workplace.

Qualifications

• 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 (Cloud Composer/Airflow).
• Proficiency with SQL and experience with Snowflake, DataBricks or BigQuery.
• Solid understanding of MLOps: reproducibility, monitoring, retraining.

Responsibilities

• Architect, build, and deploy end-to-end ML pipelines for production workloads.
• Design scalable and resilient ML systems using PyTorch and TensorFlow.
• Operationalize ML models using containerized environments.
• Integrate ML solutions with Snowflake/DataBricks/BigQuery for training and inference at scale.
• Collaborate with cross-functional teams to define requirements and deliver 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 SLAs.

Skills

PyTorch

TensorFlow

AWS

Azure

GCP

Kubernetes

Docker

Python

SQL

Data warehouse experience

LangChain/LangGraph

Communication & leadership

Education

5+ years in ML production

Tools

Cloud Composer

DataBricks

Snowflake

BigQuery

Job description

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

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 a 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 [e-mail].

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.