Machine Learning AI Engineer (ML Velocity & Productionization)

Job#: 3023750

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 at scale. This 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: $70–$90/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.

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 (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).

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.

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join 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. Apex uses a virtual recruiter as part of the application process. Click here for more details.

Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, 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. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide.