Senior Machine Learning Engineer
Job description
Senior ML Engineer at Wiser Solutions to build the customer-facing AI platform and deliver first features to customers. The role owns ML systems end to end, from idea to experiment to production, on large-scale product and pricing data.
At a glance
- Work mode
- Remote · Canada
What you'll do
- 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, covering classical ML, embedding models, and LLMs, picking the simplest approach that meets the quality and cost bar
- 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 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
What we're looking for
- 7+ years in ML engineering, applied data science, or AI engineering
- A track record of shipping ML or AI systems to production and owning them after launch, able to walk through the architecture, the tradeoffs, and the metrics that showed it worked
- Hands-on experience training and evaluating models: feature engineering, experiment design, choosing metrics, handling class imbalance and noisy labels, and knowing when a model is good enough to ship
- 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, or similar
- 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: would rather test an idea in two days than debate it for two weeks
- Daily use of AI coding assistants (Cursor, Claude Code, GitHub Copilot, or similar) and curiosity about new AI tools as they come out
Nice to have
- Experience with LLM fine-tuning, and a clear sense of when to fine-tune versus prompt engineer versus train a smaller task-specific model
- Experience keeping inference cost down at high volume through distillation, quantization, caching, or tiered model routing
- Background in retail, e-commerce, or product data (catalog matching, taxonomy mapping, attribute extraction)
- Experience with entity resolution or similarity search at scale
- Comfort working with data pipelines and orchestration tools like Airflow (helpful, not required)
Apply
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About Wiser Solutions
A competitive intelligence platform that brands, retailers, and marketplace sellers use to win more sales online
Wiser Solutions is a competitive intelligence platform that brands, retailers, and marketplace sellers use to win more sales online. Its products cover price intelligence, market intelligence, and MAP intelligence, giving customers real-time visibility into pricing, product availability, promotions, and reseller behavior across the digital shelf, along with the tools to act on it. Brands and retailers around the world rely on Wiser.
Key facts
- Data runs at well over 100 million product and pricing records a day from retailers and marketplaces worldwide
- Products cover price intelligence, market intelligence, and MAP intelligence
- Brands and retailers around the world rely on Wiser