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Q
Engineering💼 FullTime

AI Engineer at Qualcomm

Qualcomm
2 months ago
Location

Hyderabad

Salary

Competitive

Apply By

ASAP

Views

58

Eligible Batches

🎓 Not specified Batch🎓 2024 Batch🎓 2025 Batch🎓 2026 Batch

Job Description

Join Qualcomm as an AI Engineer and contribute to the development of innovative AI solutions. Leverage your skills in machine learning, natural language processing, and computer vision to drive business growth.

Roles & Responsibilities

Design and develop artificial intelligence models and algorithms Implement AI solutions using deep learning techniques Collaborate with cross-functional teams to integrate AI solutions into products and services

Requirements

M.Sc./B.Tech in Computer Science or related field Strong background in machine learning, natural language processing, and computer vision Programming skills in Python, Java, or C++ Experience with deep learning frameworks like TensorFlow or PyTorch

Nice to Have

Machine Learning experience

Eligibility Criteria

B.Tech/B.E./M.Sc. 2024/2025/2026 Batch

Tech Stack & Ecosystem

C++GenAI

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Quick Info

TypeFullTime
RoleAI Engineer
Work Mode🏢 On-site
Eligible Batches
Not specified202420252026

Tech Stack

C++GenAI

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Career Advice

Company Insights

As an AI Engineer at Qualcomm, you'll embark on a journey to revolutionize the future of technology with cutting-edge artificial intelligence. By joining one of the world's leading innovation-driven companies, you'll have unparalleled opportunities to collaborate with visionary experts and work on groundbreaking projects that push the boundaries of what's thought possible. With Qualcomm, you'll unlock your full potential and experience a culture that thrives on innovation, diversity, and inclusion – empowering you to grow into a true leader in the industry. Qualcomm's legacy is built on a rich history of pioneering technological advancements that have transformed the world. As you contribute to this legacy, you'll be part of an ecosystem that fosters creativity, encourages experimentation, and recognizes the power of AI in shaping a brighter future.

Interview Guide

To ace your interview as an AI Engineer at Qualcomm, start by immersing yourself in the latest AI research and trends. Focus on developing your skills in areas like machine learning, deep learning, and natural language processing. Qualcomm often uses TensorFlow and PyTorch in its AI projects, so make sure you have hands-on experience with these frameworks. During the interview, be prepared to solve complex AI-related problems, including those involving computer vision, object detection, and sentiment analysis. Familiarize yourself with Qualcomm's products and technologies, and be ready to discuss how AI can be applied to address industry-specific challenges. Remember to emphasize your experience working with cross-functional teams to integrate AI solutions into products and services, as well as your ability to design and develop artificial intelligence models and algorithms. By showcasing your expertise and passion for AI, you'll demonstrate your potential to make a lasting impact at Qualcomm.