Machine Learning AI Engineer (ML Velocity & Productionization)
Indexed description
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 [email protected]
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.
- 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.
- 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.
- Experience with ML observability tools (e.g., MLflow, Weights & Biases).
- Familiarity with LLM‑powered agents, retrieval pipelines, or AI workflow automation.
- Experience deploying ML solutions into cloud environments (AWS, GCP, Azure).
- 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 Benefits Overview: In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
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 team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click here for more details.
Everforth Apex Benefits Overview: In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.
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Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.
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Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.
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