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Alyssa Schroer Alyssa Schroer
Published on January 10, 2025

AI in Cars: 21 Examples of Automotive AI

Artificial intelligence has improved various aspects of vehicles, from powering sensor technology to accelerating the manufacturing process. These companies are at the forefront of bringing AI to the automotive industry.

Ellen Glover Ellen Glover
Updated on February 06, 2025

44 Technology Companies in India to Know

India is one of the world’s most important tech hubs, drawing in high-growth companies from all over the world.

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Mia Goulart Mia Goulart
Updated on February 06, 2025

20 Logistics Companies in Poland to Know

These companies are expected to play a key role in driving the country’s economic growth in the coming years.

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Ellen Glover Ellen Glover
Updated on February 06, 2025

44 Technology Companies in India to Know

India is one of the world’s most important tech hubs, drawing in high-growth companies from all over the world.

Image: Shutterstock
Mia Goulart Mia Goulart
Updated on February 06, 2025

20 Logistics Companies in Poland to Know

These companies are expected to play a key role in driving the country’s economic growth in the coming years.

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Margo Steines Margo Steines
Updated on January 31, 2025

20 Logistics Companies in Germany to Know

Germany, renowned for precision engineering, is also world leader in logistics.

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Margo Steines Margo Steines
Updated on January 30, 2025

20 IT Companies in Australia to Know

Australia is Oceania’s top destination for information technology services.

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Ellen Glover Ellen Glover
Updated on January 29, 2025

37 Software Companies in India to Know

India is home to some of the world’s most influential software companies.

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Margo Steines Margo Steines
Updated on January 29, 2025

32 Companies Hiring Entry-Level Engineers

These companies are looking for entry-level engineers to help them stay competitive in an evolving landscape.

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Margo Steines Margo Steines
Updated on January 29, 2025

44 Companies Hiring AI Engineers

These companies are looking for AI engineers who can help them leverage the swiftly evolving technology across a wide range of applications.

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Margo Steines Margo Steines
Updated on January 22, 2025

20 Companies Hiring Entry-Level IT Professionals

Entry-level IT professionals can work across a variety of industries, ranging from financial services to pharmaceutical manufacturing.

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Abel Rodriguez Abel Rodriguez
Updated on January 21, 2025

10 IT Companies in France to Know

IT is one of the country’s largest employers in tech and these are the companies leading the way.

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Alyssa Schroer Alyssa Schroer
Updated on January 10, 2025

AI in Cars: 21 Examples of Automotive AI

Artificial intelligence has improved various aspects of vehicles, from powering sensor technology to accelerating the manufacturing process. These companies are at the forefront of bringing AI to the automotive industry.

Image: Shutterstock / Built In
15 Hours Ago
Mumbai, Maharashtra, IND
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
As a Senior R&D Test Engineer, you'll lead E2E testing, automate test cases, manage deployment activities in a DevOps environment, and communicate testing outcomes to teams. You'll also enhance Business Systems' quality by developing and maintaining test frameworks using various automation tools.
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
As a Machine Learning Engineer for HERE Tracking, you will develop predictability services integrating big data, machine learning, and AI into the Tracking Cloud. Responsibilities include collaborating with stakeholders to deploy analytical solutions, participating in algorithm and software development within a scrum team, and enhancing existing product features.
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
The Lead Data Scientist will work on the HERE Tracking team to develop predictive services using big data and machine learning. Responsibilities include analyzing large datasets, building predictive models, collaborating within a scrum team, and leveraging geospatial analysis to optimize logistics.