Highlights
You will blend applied machine learning, software engineering, and stakeholder problem-solving to deploy production-grade systems that are scalable, secure, observable, and aligned to business KPIs. We are looking for an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to deliver high-impact AI/ML (and GenAI, where applicable) solutions end-to-end.
Numbers & Facts
| Location | Minnetonka Mills, MN |
| Industry | Computer/IT Services |
| Company Size | 500 to 999 employees |
| Year Founded | 1990 |
| Website | http://q1tech.com/ |
Description
Role Name: AI/ML & Forward Deployed Engineer (8+ Years)
Role Overview
We are looking for an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to deliver high-impact AI/ML (and GenAI, where applicable) solutions end-to-end. You will blend applied machine learning, software engineering, and stakeholder problem-solving to deploy production-grade systems that are scalable, secure, observable, and aligned to business KPIs.
This role is ideal for engineers who enjoy operating at the intersection of data + models + systems + real users, and who can thrive in ambiguous, fast-moving environments
Key Responsibilities
1) Use-Case Discovery & Forward Deployment
Partner with stakeholders (business/product/customers) to identify and shape AI opportunities into well-defined use cases with success metrics, constraints, and rollout plans.
Run workshops and technical discovery to assess feasibility, data readiness, integration needs, and operational risks.
Drive rapid prototyping, pilot deployments, and iterative improvements based on real user feedback.
2) Applied ML Engineering (Classic ML + Deep Learning)
Develop and improve ML solutions (classification, regression, ranking, forecasting, anomaly detection, NLP).
Establish and maintain robust evaluation practices: offline metrics, validation strategies, experimentation, and A/B testing.
Perform feature engineering, error analysis, model optimization, and performance tuning for production requirements.
3) GenAI / LLM Engineering (If Applicable)
Role Overview
We are looking for an experienced AI/ML & Forward Deployed Engineer with 8+ years of engineering experience to deliver high-impact AI/ML (and GenAI, where applicable) solutions end-to-end. You will blend applied machine learning, software engineering, and stakeholder problem-solving to deploy production-grade systems that are scalable, secure, observable, and aligned to business KPIs.
This role is ideal for engineers who enjoy operating at the intersection of data + models + systems + real users, and who can thrive in ambiguous, fast-moving environments
Key Responsibilities
1) Use-Case Discovery & Forward Deployment
Partner with stakeholders (business/product/customers) to identify and shape AI opportunities into well-defined use cases with success metrics, constraints, and rollout plans.
Run workshops and technical discovery to assess feasibility, data readiness, integration needs, and operational risks.
Drive rapid prototyping, pilot deployments, and iterative improvements based on real user feedback.
2) Applied ML Engineering (Classic ML + Deep Learning)
Develop and improve ML solutions (classification, regression, ranking, forecasting, anomaly detection, NLP).
Establish and maintain robust evaluation practices: offline metrics, validation strategies, experimentation, and A/B testing.
Perform feature engineering, error analysis, model optimization, and performance tuning for production requirements.
3) GenAI / LLM Engineering (If Applicable)
About Company
Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.
Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.
