Specialist Data Science

Cloud Analytics Technologies, LLC; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

A tech-focused company is seeking a candidate with strong experience in computer-vision algorithms, particularly YOLO-based models for object detection tasks. Responsibilities include fine-tuning and optimizing models for edge deployment, as well as proficiency in Docker for containerizing services. Familiarity with Kubernetes and Google Cloud Platform is essential. Ideal applicants should also have experience in Python and Typescript, contributing to scalable architectures. This position emphasizes a commitment to equal opportunity employment.

Qualifications

• Strong experience in computer-vision algorithms, primarily YOLO-based models.
• Candidates should be proficient in containerizing FastAPI-based web services.
• Familiarity with Kubernetes is essential for operating within production architecture.
• Familiarity with Kubernetes and Google Cloud Platform in production architectures.
• Experience with Python, Typescript, and scalable architectures.

Responsibilities

• Fine-tuning and retraining off-the-shelf models.
• Applying techniques like quantization and distillation for model optimization.
• Containerize services with Docker and publish results to message brokers.
• Operate within a Kubernetes-based production stack on Google Cloud Platform.
• Collaborate with teams using Python and Typescript to build scalable systems.

Skills

Computer-vision algorithms experience

Proficient in Docker

Familiarity with Kubernetes

Experience in Python

Experience in Typescript

Experience with scalable architectures

Tools

Docker

Google Cloud Platform

Google Cloud Platform

Job description

Responsibilities

• 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.

Top Skills Needed

• Experience with YOLO-based models and ML frameworks

Equal Opportunity Employer

CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract