4 дня назад
Engineering Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Intern (AI): Developing data science, cloud engineering, and computer vision solutions for retail IoT products with an accent on machine learning, Azure infrastructure, and image and sensor data. Focus on analyzing large datasets, training and validating AI models, automating cloud operations, and improving reliability through CI/CD and security practices.
Location: Dallas, Texas, USA; hybrid schedule with three days in the office and two days working from home
Salary: Not specified
Company
develops IoT and data technologies that help retailers and brands improve efficiency, intelligence, and sustainability.
What you will do
- Analyze large datasets, identify trends, and create dashboards, reports, and visualizations.
- Build and evaluate predictive models, machine learning algorithms, and computer vision solutions for retail IoT products.
- Prepare data, engineer features, validate models, and assess model performance.
- Support Microsoft Azure cloud infrastructure, Infrastructure-as-Code automation, monitoring, troubleshooting, and reliability improvements.
- Contribute to CI/CD pipelines, cloud automation, security practices, and end-to-end AI solutions with software, hardware, and data engineering teams.
Requirements
- Pursuing a bachelor's degree in data science, computer science, mathematics, statistics, engineering, or a related field.
- Python, SQL, Java or C++, Git, cloud platforms, machine learning frameworks, data visualization tools, OpenCV, and REST APIs.
- Fluent English and Spanish required.
- Ability to work in a hybrid schedule based in Dallas, Texas.
Nice to have
- Experience with Microsoft Azure, including Azure data processing and storage tools such as Kusto and dashboards.
- Docker or Kubernetes experience.
Culture & Benefits
- Hybrid work with two days from home and three days in the office, plus up to two weeks of remote work anywhere per year.
- 35 days of paid time off and benefits eligibility from the first day.
- Retirement savings plans, family support, and volunteer time off.
- E-learning opportunities, workshops, and potential global mobility.
- Commuting support of up to $100 per month and matching employee donations up to $500 per year.
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