Computer Vision Engineer — Real-Time Vision & ML Innovator

TechDigital Group; Bentonville (AR); Presencial; USD 80.000 - 120.000; Jornada completa

Descripción de la vacante

An innovative firm is seeking a Computer Vision Engineer to design and implement cutting-edge algorithms that tackle complex challenges. In this role, you will collaborate with cross-functional teams to deliver transformative solutions in computer vision. The ideal candidate will possess a robust background in machine learning, software development, and a passion for leveraging technology to drive results. Join a forward-thinking company where your expertise will contribute to pioneering advancements in the field, and be part of a team that values creativity and innovation.

Formación

• Proven experience in developing computer vision algorithms.
• Strong programming skills in Python, C++, or Java.

Responsabilidades

• Develop and implement computer vision algorithms for object detection and image recognition.
• Collaborate with teams to integrate solutions into products.

Conocimientos

Computer Vision

Python

C++

Java

Problem-Solving

Educación

Bachelor's degree in Computer Science

Master's degree in Electrical Engineering

Ph.D. in related field

Herramientas

OpenCV

TensorFlow

PyTorch

Descripción del empleo

Update from HM
*We expect candidates to have strong Retail domain and POS experience, including a clear understanding of POS workflows and automation scenarios.
Resumes should focus less on tools and processes and more on key strengths, project contributions, and accomplishments and highlight the challenges they addressed, solutions implemented, and measurable impact achieved.
The resume should be limited to two pages highlighting the above.*

JD:
Design, develop, and execute comprehensive test strategies, test plans, and test cases aligned with functional and non-functional requirements.
Perform end-to-end system validation, including functional, integration, system, and regression testing across distributed applications.
Develop and execute test scenarios for applications deployed on Kubernetes clusters, validating scalability, resiliency, and fault tolerance under dynamic workloads
Implement and drive Behavior Driven Development (BDD) practices and contribute to quality engineering culture.
Validate application behavior and performance in edge computing environments, ensuring reliability under constrained network, latency, and offline scenarios
Manage the defect lifecycle, including identification, logging, prioritization, tracking, and closure using standard tools.
Conduct detailed root cause analysis (RCA) of defects using logs [java, xml, json etc.], monitoring tools, and data analysis techniques to ensure effective resolution.
Collaborate closely with developers, product managers, DevOps, and cross-functional teams to resolve issues and improve product quality.
Validate APIs, databases, and system integrations, ensuring contract compliance and data integrity across services.
Participate actively in Agile ceremonies (sprint planning, reviews, retrospectives) and contribute to continuous improvement initiatives.
Ensure adherence to quality standards, testing best practices, and CI/CD processes, while continuously enhancing test coverage and efficiency.

Basic Qualifications
Bachelor's degree in computer science, Engineering, or a related field with 4–6+ years of QA experience in enterprise environments.
Strong experience in manual and automated testing methodologies and tools.
Proficiency in test automation tools such as Selenium, Playwright, Cypress, or similar frameworks.
Hands-on experience with API testing (REST/SOAP) and database validation (SQL/NoSQL).
Solid understanding of Agile/Scrum and DevOps practices, including CI/CD pipelines.
Experience with defect tracking and test management tools such as Jira, TestRail, or Client QC.
Strong analytical and problem-solving skills, including defect triaging and root cause analysis.
Working knowledge of object-oriented programming (Java, Python, or similar) for test automation development.
Experience in retail domain applications, including POS systems and transaction flows (preferred but highly valued).
Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams and stakeholders.