Solutions Engineer, Vision AI & YOLO Deployments

Ignite Next GmbH; New York, Northern (NY, KY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

On-site collaboration (NYC/Austin)

Flexible working hours

24 vacation days + birthday off

Tech & tools budget

Brand-new hardware (MacBook Air/Pro &;

Learning & development budget

Job summary

Ultralytics is seeking a Solutions Engineer to turn complex computer vision problems into production-ready systems built on YOLO. You’ll lead technical discovery, design architectures, and guide customers from initial conversations to deployed models.

In this on-site, NY-based role, you’ll collaborate with Sales, Customer Success, Product, and Engineering, delivering demos, proofs-of-concept, and benchmarks while translating technical ideas for non-technical stakeholders.

Qualifications

• Strong Python and practical experience with YOLO, OpenCV, PyTorch, and computer vision.
• Experience training, optimizing, evaluating, and deploying machine learning models.
• Comfortable with Docker, Git, REST APIs, Linux, cloud platforms, and edge workflows.
• Experience deploying across Linux, macOS, and Windows environments.
• Proven ability to deliver technical demos, workshops, architecture reviews, and POCs.
• Strong communication skills with both technical and executive audiences.
• Independent ownership, urgency, resilience, and results in a high-performance startup environment.
• Passion for AI, open source, and helping customers achieve real outcomes.

Responsibilities

• Technical discovery and solution design: Own technical discovery, translate customer needs into architectures, and define measurable success criteria.
• Prototyping and deployment: Build Python prototypes with YOLO, OpenCV, PyTorch, and Docker; create benchmarks and production-ready workflows.
• Deployment across environments: Deploy solutions across Linux, macOS, Windows, cloud, and edge. Diagnose performance and data quality issues.
• Customer engagement: Deliver technical demos, workshops, architecture reviews, and proofs-of-concepts for opportunities.
• Communication: Explain ML concepts clearly to engineers, operators, executives and other non-technical audiences.
• Ecosystem contribution: Turn customer solutions into reusable examples and constructive feedback to product teams.

Skills

Python

YOLO

OpenCV

PyTorch

Docker

Git

REST APIs

Linux

Edge computing

Communication

Tools

Docker

Git

REST APIs

Linux

Job description

Ultralytics is seeking a Solutions Engineer to turn complex computer vision problems into production-ready systems built on YOLO. You’ll lead technical discovery, design architectures, and guide customers from initial conversations to deployed models.

In this on-site, NY-based role, you’ll collaborate with Sales, Customer Success, Product, and Engineering, delivering demos, proofs-of-concept, and benchmarks while translating technical ideas for non-technical stakeholders.