Machine Learning AI Engineer; ML Velocity & Productionization Jobs in Toronto, Canada at Apex Systems
Title: Machine Learning AI Engineer; ML Velocity & Productionization
Company: Apex Systems
Location: Toronto, Canada
Category:
Position: Machine Learning AI Engineer (ML Velocity & Productionization)
Job#: 3034200
Job Description:
Machine Learning AI Engineer
(ML Velocity & Productionization)
Apex Systems, a global IT services provider, is seeking a Machine Learning Engineer with expert‑level knowledge of Claude’s AI capabilities and strong hands‑on experience in Python (pandas, scikit‑learn, and modern ML frameworks). The ideal candidate will be proficient in SQL (complex queries, optimization, and data transformations), experienced with Snowflake, and skilled in deploying and productionizing machine learning models s role requires a proven ability to independently drive projects end‑to‑end—from initial exploration through full production deployment—while leveraging AI to accelerate ML development velocity.
The position is for a contract placement with one of our major international retail clients.
Location: Toronto, ON
Work Model: Remote (must be based in Canada)
Contract Length: 12 months
Pay Rate: $65-$75/HR CAD
Application Process: It is best to apply via the medium on which you are seeing this posting. If you encounter technical difficulties submitting your resume, please send a Word version of your resume to Mauncho Ogega at
About the Role
We are seeking an AI Engineer with deep expertise in Claude and strong end‑to‑end machine learning experience to help accelerate ML development velocity across our clients organization. This role is highly technical and hands‑on you will design, prototype, and productionize AI‑powered solutions that streamline data workflows, improve model deployment efficiency, and enhance ML infrastructure.
You will work independently, collaborate with data scientists and ML engineers, and own projects from exploration through full production deployment.
Key Responsibilities
Leverage Claude to enhance ML workflows, automate development tasks, accelerate experimentation, and optimize production pipelines.
Build and maintain Python-based ML tooling leveraging pandas, scikit‑learn, and other ML frameworks.
Write, optimize, and maintain complex SQL queries for data transformation, feature engineering, and model scoring pipelines.
Develop and operationalize ML workflows within Snowflake, including integration with ML models and data pipelines.
Deploy and productionize machine learning models using scalable best practices (versioning, monitoring, CI/CD, reproducibility).
Independently take ML initiatives from ideation → proof of concept → MVP → full production deployment.
Troubleshoot and improve existing ML systems to increase reliability, robustness, and throughput.
Work cross‑functionally with engineering, data science, and platform teams to enhance ML velocity and operational efficiency.
Required Technical Skills
Claude: Expert-level understanding of Claude’s capabilities, workflows, and prompt engineering techniques; ability to integrate AI into ML development processes.
Python: Strong experience with pandas, scikit-learn, and common ML/AI libraries; ability to build robust ML tooling.
SQL: Advanced proficiency in writing complex, high-performance queries and optimizing analytical workloads.
Snowflake: Hands‑on experience working with Snowflake data pipelines, transformations, and ML integration patterns.
ML Deployment: Proven experience productionizing models (batch, real-time, or event-driven) and maintaining them in live environments.
End-to-End Ownership: Demonstrated ability to independently deliver projects from exploration through production deployment.
Nice-to-Have Skills
Experience with ML observability tools (, MLflow, Weights & Biases).
Familiarity with LLM‑powered agents, retrieval pipelines, or AI workflow automation.
Experience deploying ML solutions into cloud environments (AWS, GCP, Azure).
Who You Are
A hands-on AI/ML engineer who thrives on building efficient, scalable systems.
Comfortable experimenting with cutting-edge AI models (especially Claude) and integrating them into practical engineering workflows.
Able to move quickly, solve ambiguous problems, and deliver high-quality production solutions with minimal oversight.
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a…
