Senior Machine Learning Engineer (Fully Remote)

Wiser Solutions; United States; Remote; USD 114,000 - 142,000; Full time

Benefits offered by this job

Remote work

Job summary

Wiser Solutions is hiring a Senior ML Engineer to build our customer-facing AI platform and get the first features into customers' hands. The data runs at real scale with hundreds of millions of records daily across retailers and marketplaces worldwide, tackling problems like product matching, classification, and attribute extraction.

You will take problems from idea to prototype, train and evaluate models, and design end-to-end ML solutions including RAG and embedding-based retrieval on AWS.

Qualifications

• 7+ years in ML engineering, applied data science, or AI engineering with a track record of shipping to production.
• Hands-on experience with LLMs, RAG, embeddings, vector databases, and MLOps tooling like MLflow or SageMaker.
• Strong Python and engineering habits: version control, testing, CI/CD, and daily use of AI coding assistants.

Responsibilities

• Take customer problems from idea to working prototype quickly, prove or kill with data, and move what works into production.
• Train, fine-tune, and evaluate models for matching, classification, and extraction using classical ML, embeddings, and LLMs.
• Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS, owning the full ML lifecycle.

Skills

ML engineering

Python

CI/CD

Model deployment

Tools

MLflow

SageMaker

Vector databases

Job description

• We are hiring a Senior ML Engineer to build our customer-facing AI platform and get the first features into customers' hands.
• Our data runs at real scale: over 100 million product and pricing records a day from retailers and marketplaces worldwide.
• The problems are concrete: product matching, classification, attribute extraction, where the right answer mixes trained models, embeddings, retrieval, and LLMs.

What You Will Do:

• Take customer problems from idea to working prototype quickly, prove or kill with data, and move what works into production.
• Train, fine-tune, and evaluate models for matching, classification, and extraction using classical ML, embeddings, and LLMs.
• Design and ship RAG systems, embedding-based retrieval, and LLM-powered features on AWS, owning the full ML lifecycle.

Qualifications:

• 7+ years in ML engineering, applied data science, or AI engineering with a track record of shipping to production.
• Hands-on experience with LLMs, RAG, embeddings, vector databases, and MLOps tooling like MLflow or SageMaker.
• Strong Python and engineering habits: version control, testing, CI/CD, and daily use of AI coding assistants.

Additional Information:

• Base pay part of total compensation, established individually based on experience, education, and geography.
• Hiring range for base annual pay is CAD $160-200k with performance-based bonuses.
• This job is available remotely in a professional office environment.

Wiser Solutions is a competitive intelligence platform that brands, retailers, and marketplace sellers use to win more sales online. It serves brands and retailers globally, providing real-time visibility into pricing, product availability, and promotions.