Specialist Data Science | 14+ years experience
Hybrid in Chicago, IL, US • Posted 1 day ago • Updated 1 day ago

TekDallas
Dice Job Match Score™
🛠️ Calibrating flux capacitors...
Job Details
Skills
- YOLO-based models
- ML frameworks
- Docker
- Kubernetes
- GCP
- Google Cloud Platform
- Python
- Typescript
- scalable architectures
Summary
Job Title: Specialist Data Science
Location: Local to Chicago, IL -Hybrid- Locals or nearby only
Onsite: 3-days per week, mostly at the client office in downtown Chicago
Exp level: 14+ years
Retail domain experience is a plus
Top Skills Needed:
- Experience with YOLO-based models and ML frameworks
- Docker proficiency
- Kubernetes/Google Cloud Platform exposure
Requirements:
- Strong experience in computer-vision algorithms—primarily YOLO-based models—for object detection tasks.
- The role involves fine-tuning and retraining off-the-shelf models, as well as applying techniques like quantization and distillation to optimize models for edge deployment.
- Candidates should be proficient in Docker for containerizing FastAPI-based web services and publishing results to message brokers.
- Familiarity with Kubernetes and Google Cloud Platform is essential for operating within our production architecture.
- Experience in Python, Typescript, and scalable architectures is preferred.
- Dice Id: 91162571
- Position Id: 8855393
- Posted 1 day ago
Company Info
About TekDallas
TekDallas offers outsourced product development, managed services solutions and business process management to organizations seeking higher operational effectiveness, greater flexibility, and cost savings.
We help create a virtual extension of our clients’ enterprise with an operational framework which is simple, flexible and resilient.
TekDallas enables its clients to extend current capabilities and build value-added services by providing global access to resources and diverse skill sets, including best practices in multiple processes and technology domains. Our services are designed to aid businesses improve their operational efficiencies, performance and reduce costs.


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