Senior Machine Learning Engineer

Job not on LinkedIn

🔥 21 minutes ago

🇨🇦 Canada – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 0%

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Wiser Solutions, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

🛍️ eCommerce

💰 Seed Round on 2016-03

Consulting • Marketing • eCommerce

Wiser Solutions, Inc. is a company that provides comprehensive data-driven solutions for CPG brand manufacturers, eCommerce brands, marketplace sellers, and retailers. Its offerings include price optimization, product discoverability enhancement, retail execution support, and insights for growth and competitiveness in both online and in-store environments. Wiser's tools focus on leveraging pricing data, automation, and market intelligence to help businesses protect margins, maximize sales, and maintain brand consistency. The company's solutions are built on data quality and are designed to enable better commerce execution for its clients.

📋 Description

• Take customer problems from idea to working prototype quickly • Prove or disprove approaches with data and move successful solutions into production • Train, fine-tune, and evaluate models for matching, classification, and extraction problems • Select appropriate approaches across classical ML, embedding models, and LLMs based on quality and cost • Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS • Own the full ML lifecycle, including experiment tracking, model versioning, deployment, monitoring, and retraining • Build evaluation systems using labeled golden sets, offline precision and recall metrics, LLM-as-judge, and shadow or A/B testing • Monitor production models for drift, output quality, latency, and cost per prediction • Fix issues identified through production monitoring • Build customer-facing AI features for product matching, classification, and attribute extraction at large scale

🎯 Requirements

• 7+ years in ML engineering, applied data science, or AI engineering • Track record of shipping ML or AI systems to production and owning them after launch • Hands-on experience training and evaluating models, including feature engineering, experiment design, metric selection, class imbalance, and noisy labels • 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, including SageMaker, Bedrock, Lambda, ECS/EKS, and S3 • Strong Python and solid engineering habits, including version control, testing, CI/CD, and code review • Habit of building quickly to learn and testing ideas rapidly • Daily use of AI coding assistants such as Cursor, Claude Code, GitHub Copilot, or similar • Curiosity about new AI tools • Preferred: Experience with LLM fine-tuning and choosing between fine-tuning, prompt engineering, and smaller task-specific models • Preferred: Experience reducing inference cost through distillation, quantization, caching, or tiered model routing • Preferred: Background in retail, e-commerce, or product data • Preferred: Experience with entity resolution or similarity search at scale • Preferred: Comfort with data pipelines and orchestration tools such as Airflow • Ability to perform the stated physical demands, including prolonged sitting and occasionally lifting or moving up to 25 pounds

🏖️ Benefits

• Performance-based discretionary bonuses and variable pay plans are available for some positions • Remote work availability • Reasonable accommodations during the application process

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