Qualcomm Recruitment For Machine Learning Engineer

Qualcomm is hiring Fresher’s and Experienced candidates for Machine Learning Engineer Role. The complete details about Drive are as follows.

Job Details :

Qualcomm Recruitment For Machine Learning Engineer

Company : Qualcomm

Job Role : Machine Learning Engineer

Degree : Any Bachelor’s degree

Batch : 2024 – 2019

Experience : 0 – 2 Year’s

Location : Hyderabad, India

Qualcomm – Required Qualifications & Skills :

•  Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.

• Educational Background: A degree in Computer Science, Electrical Engineering, Mathematics, or a related field. Advanced degrees (Master’s or Ph.D.) are often preferred.
• Experience: Experience in machine learning, deep learning, and statistical modeling. Familiarity with frameworks such as TensorFlow, PyTorch, or scikit-learn is common.
• Programming Skills: Proficiency in languages such as Python, C++, or Java. Knowledge of software engineering principles and practices is beneficial.
• Problem-Solving Skills: Strong analytical and problem-solving skills, with the ability to handle complex data and derive actionable insights.

Skills : 

• Machine Learning Frameworks: Experience with frameworks and tools like TensorFlow, Keras, PyTorch, and scikit-learn.
• Data Manipulation: Skills in data manipulation libraries (e.g., Pandas, NumPy).
• Mathematics: A solid understanding of linear algebra, calculus, probability, and statistics.
• Software Development: Familiarity with version control systems (e.g., Git), software development methodologies, and best practices.

Roles and Responsibilities :

• Model Development: Designing, developing, and optimizing machine learning models for various applications such as computer vision, natural language processing, and predictive analytics.
• Data Handling: Working with large datasets, preprocessing, feature engineering, and ensuring data quality.
• Algorithm Implementation: Implementing and optimizing algorithms on different platforms, including embedded systems and mobile devices.
• Collaboration: Working with cross-functional teams, including software engineers, hardware engineers, and product managers, to integrate machine learning solutions into products.

Application Process

1. Resume Submission: Apply through Qualcomm’s careers page or job boards with a tailored resume highlighting relevant experience.
2. Screening: Initial screening might involve a review of your resume and a potential phone interview with HR.
3. Technical Interview: Expect technical interviews focusing on machine learning concepts, algorithms, coding skills, and problem-solving abilities. There may also be a practical component or coding challenge.
4. Behavioral Interview: Interviews with team members and managers to assess cultural fit, teamwork, and communication skills.
5. Offer and Negotiation: If successful, you’ll receive an offer. Be prepared to discuss compensation, relocation (if applicable), and other terms.

Apply To All The Jobs ( Fresher’s & Expereinced ) : Click Here

Interested candidates can apply to the drive before link expires.

Apply link : Click Here

Note:– Only shortlisted candidates will receive the call letter for further rounds.

Here are 10 machine learning engineer interview questions

1. Explain the Bias-Variance Tradeoff.
2. How Does a Convolutional Neural Network (CNN) Work?
3. What is Regularization, and How Does It Help Prevent Overfitting?
4. Describe How You Would Handle Missing Data in a Dataset.
5. How Do You Evaluate the Performance of a Regression Model?
6. What Are Some Common Feature Engineering Techniques?
7. How Does Gradient Descent Work, and What Are Its Variants?
8. What Are Precision and Recall, and How Are They Different from Each Other?
9. Describe a Time When You Had to Improve the Performance of a Model. What Steps Did You Take?
10. How Would You Approach Designing a Machine Learning System for a New Product or Feature?