Machine Learning (ML) is at the forefront of technological innovation, and for fresh graduates in this field, finding the right company to kickstart their careers is crucial. In 2024, the demand for skilled machine learning engineers will be higher than ever, with product-based companies leading the way in cutting-edge technologies and artificial intelligence applications.

In this blog, we’re going to talk about the Top 10 Product-Based Companies for Machine Learning Freshers in 2024. These product-based companies offer promising opportunities for fresh machine learning engineers with huge pay and excellent career growth.

Top 10 Product-Based Companies for Machine Learning Freshers 2024

Let’s look at some of the top product-based companies for machine learning freshers which pays huge salary and will also welcome you to explore technology:

1. Google

Google, a pioneer in technology, continues to be a frontrunner in ML. With products like Google Search, Google Photos, and TensorFlow, the company provides an ideal environment for freshers to work on diverse ML projects. Google’s commitment to innovation and the vast scope of its projects make it an exciting workplace for budding ML engineers.

• Link to Apply: Google
• No of openings: 203
• The average salary for a Machine Learning Engineer: 57.3 LPA

2. Meta

Facebook, now Meta, is a global giant in the tech industry. Leveraging ML for content recommendations, image recognition, and more, Meta offers a dynamic environment for fresh ML talents. Working here provides exposure to large-scale data and the opportunity to contribute to the development of groundbreaking technologies.

• Link to Apply: Meta
• No of openings: 289
• The average salary for a Machine Learning Engineer: 65 LPA

3. Microsoft

Microsoft is not just a software giant; it’s also a key player in AI and ML. Azure Machine Learning, Microsoft’s cloud-based ML platform, is a testament to its commitment to the field. Fresh ML engineers at Microsoft get the chance to work on a variety of projects, from natural language processing to computer vision.

• Link to Apply: Microsoft
• No of openings: 260
• The average salary for a Machine Learning Engineer: 53.4 LPA

Before landing into Machine Learning, read and understand the prerequisites to become a Machine Learning Engineer.

4. Amazon

Amazon’s relentless focus on customer experience is powered by machine learning. With applications ranging from supply chain optimization to personalized recommendations on the e-commerce platform, Amazon provides an exciting playground for ML enthusiasts. Freshers here can contribute to projects with real-world impact.

• Link to Apply: Amazon
• No of openings: 500+
• The average salary for a Machine Learning Engineer: 24 LPA

Make sure you understand machine learning fundamentals like Python, SQL, deep learning, data cleaning, and cloud services before we explore them in the next section. You should consider joining GUVI’s Machine Learning Career Program, which covers tools like Pyspark API, Natural Language Processing, and many more and helps you get hands-on experience by building real-time projects.

Also, if you want to explore Artificial Intelligence and Machine Learning through a Self-paced course, try GUVI’s Artificial Intelligence Course Bundle, a Self-Paced course.

5. IBM

IBM, a stalwart in the tech industry, continues to be a hub for cutting-edge technologies. Watson, IBM’s AI platform, offers a diverse range of applications, making it an excellent workplace for those interested in ML. Fresh engineers can explore projects related to healthcare, finance, and more.

• Link to Apply: IBM
• No of openings: 6
• The average salary for a Machine Learning Engineer: 8 LPA

6. Tesla

Tesla, led by Elon Musk, is not just an automotive company; it’s a tech powerhouse. With autonomous driving at the core of its mission, Tesla is a dream workplace for ML engineers passionate about robotics and self-driving technology. Freshers can be part of the revolution in the automotive industry.

• Link to Apply: Tesla
• No of openings: 6 (as in the USA)
• The average salary for a Machine Learning Engineer: 90 LPA

7. NVIDIA

NVIDIA, known for its graphics processing units (GPUs), is a key player in the ML hardware space. Working here offers the chance to contribute to the development of hardware that powers deep learning. Fresh engineers can be involved in projects pushing the boundaries of AI computing.

• Link to Apply: NVIDIA
• No of openings: 475
• The average salary for a Machine Learning Engineer: 7 LPA

8. Adobe

Adobe, synonymous with creative software, has embraced ML to enhance its products. From image recognition in Adobe Stock to AI-powered features in Photoshop, Adobe provides a unique platform for ML engineers with a creative flair. Freshers can be part of the intersection of art and technology.

• Link to Apply: Adobe
• No of openings: 213
• The average salary for a Machine Learning Engineer: 17 LPA

9. Salesforce

Salesforce, a leader in customer relationship management (CRM), incorporates ML for predictive analytics and intelligent automation. Fresh ML engineers at Salesforce can contribute to enhancing customer experiences through the application of machine learning in CRM and business processes.

• Link to Apply: Salesforce
• No of openings: 683
• The average salary for a Machine Learning Engineer: 19 LPA

10. Intel

Intel, a giant in semiconductor manufacturing, is deeply involved in the development of AI hardware. Working here offers the opportunity to contribute to the creation of processors optimized for machine learning workloads. Freshers can be part of the innovation driving AI hardware evolution.

• Link to Apply: Intel
• No of openings: 97
• The average salary for a Machine Learning Engineer: 14 LPA

You can definitely opt for internships before landing a full-time job opportunity. And to obtain an internship, you should follow some powerful steps. These steps will help you grab wonderful internship opportunities.

Want to get into the top Product-Based Companies for Machine Learning Freshers? You should register for some quality courses on Machine Learning in order to grab wonderful jobs as a fresher. Keeping that in mind, we have a course on Machine Learning, which is specially designed for beginners/freshers, covering all the important concepts, and that too, at a very affordable price.

Kickstart your Machine Learning journey by enrolling in GUVI’s Machine Learning Career Program where you will master technologies like matplotlib, pandas, SQL, NLP, and deep learning,  and build interesting real-life machine learning projects.

Alternatively, if you want to explore  Artificial Intelligence and Machine Learning through a Self-paced course, try GUVI’s Artificial Intelligence Course Bundle, a Self-Paced course.

Conclusion

In conclusion, the field of machine learning is vibrant, and fresh graduates have a plethora of opportunities to make an impact. Choosing a product-based company not only provides exposure to real-world applications but also allows for professional growth alongside some of the brightest minds in the industry.

As these Product-Based Companies for Machine Learning Freshers continue to push the boundaries of what is possible with machine learning, the opportunities are bound to be both challenging and rewarding.

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