Senior ML Engineer — Build Production AI Platform (Remote)

Wiser; Toronto; Remote; CAD 160,000 - 200,000; Full time

Benefits offered by this job

Remote work available

Job summary

Wiser is seeking a Senior ML Engineer to own the full ML lifecycle for our customer-facing AI platform. You will drive prototype-to-production work, focusing on matching, classification, and extraction using classical ML, embeddings, and LLMs.

You’ll ship RAG systems, manage model versioning, and monitor cost and latency in production. We value hands-on ML delivery, experience with MLOps tooling, and strong Python engineering habits.

Qualifications

• 7+ years in ML engineering, applied data science, or AI engineering
• Track record of shipping ML/AI systems to production and owning them after launch
• Hands-on experience training and evaluating models
• Hands-on experience building production applications with LLMs, including RAG, embeddings, and vector databases
• Working knowledge of MLOps practices and tooling such as MLflow, SageMaker Pipelines, Weights & Biases
• Experience with AWS for ML workloads (SageMaker, Bedrock, Lambda, ECS/EKS, S3)
• Strong Python and solid engineering habits: version control, testing, CI/CD, and code review
• A habit of building quickly to learn: two days vs two weeks

Responsibilities

• Take customer problems from idea to working prototype quickly, prove or kill an approach with data, and move what works into production
• Train, fine-tune, and evaluate models for matching, classification, and extraction problems
• Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS
• Own the full ML lifecycle: experiment tracking, model versioning, deployment, monitoring, and retraining
• Build evaluation that tells us whether something works: labeled golden sets, offline metrics (precision, recall), LLM-as-judge where it fits, and shadow or A/B testing before rollout
• Monitor models in production for drift, output quality, latency, and cost per prediction, and fix what you find

Skills

ML engineering

Applied data science

AI engineering

Model training

LLM apps

MLOps

Python

AWS

Tools

MLflow

SageMaker Pipelines

Weights & Biases

Job description

Wiser is seeking a Senior ML Engineer to own the full ML lifecycle for our customer-facing AI platform. You will drive prototype-to-production work, focusing on matching, classification, and extraction using classical ML, embeddings, and LLMs.

You’ll ship RAG systems, manage model versioning, and monitor cost and latency in production. We value hands-on ML delivery, experience with MLOps tooling, and strong Python engineering habits.