Google Off Campus Drive 2024 Hiring Freshers for Audio Machine Learning Engineer

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Google Off Campus Drive 2024 presents a golden opportunity for talented individuals to join one of the most innovative companies in the world. With a focus on revolutionizing technology across various domains, Google is seeking passionate engineers for the role of Audio Machine Learning Engineers.

Details About Google Off Campus Drive:

Company Website:  www.google.com

Job Role: Audio Machine Learning Engineer

Qualification: Bachelor’s/ Master’s Degree

Batch: Recent Batches

Experience: Freshers

Salary: 35 LPA (via AmbitionBox)

Job Location: Hyderabad

Last Date: ASAP

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Qualifications and Skills for Google Off Campus Drive:

To qualify for Google’s Off Campus Drive 2024, candidates must meet the following qualifications and possess the required skills:

Minimum Qualifications:

  1. Educational Background:
    • Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, a related field, or equivalent practical experience.
  2. Programming Skills:
    • Experience in C/C++ or Python programming.
    • Proficiency in Machine Learning concepts and techniques.

Preferred Qualifications:

  1. Advanced Education:
    • Master’s degree in Signal Processing, Data Science, or Machine Learning (preferred).
  2. Experience:
    • 3 years of experience with AI/ML algorithms and tools (e.g., TensorFlow), deep learning, or natural language processing.
    • Experience in audio, speech, machine learning, DSP, and embedded systems.
  3. Skills:
    • Excellent problem-solving, analytical, communication, and teamwork skills.

Google Careers 2024: Hiring Software Engineer, Silicon Validation Software Platform

Job Responsibilities for Google Off Campus Drive:

As a Software Engineer at Google, specializing in Machine Learning, your responsibilities will include:

  1. ML Project Development:
    • Work on ML projects focusing on speech and audio applications, utilizing techniques such as Generative AI and Large Language Models (LLM).
  2. Optimization:
    • Engage in memory and performance optimization to ensure efficient deployment of ML models on Google hardware.
  3. Collaboration:
    • Collaborate with Product, Research, and Software teams to understand ML requirements and deliver solutions that enhance key user experiences.
  4. Deployment Streamlining:
    • Work alongside tools and architecture teams to streamline the deployment, validation, and testing processes for Google hardware.
  5. Model Development:
    • Develop ML models tailored for Google hardware devices, contributing to the advancement of technology in consumer electronics.

How to Apply for Google Off Campus Drive?

All interested and eligible candidates can apply for Google Off Campus Drive online by the following link as soon as possible.

Application Link: Apply Here

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Conclusion:

Google’s Off Campus Drive 2024 offers a remarkable opportunity for driven individuals to become part of a diverse and dynamic team committed to pushing the boundaries of technology. With a focus on innovation, collaboration, and continuous learning, Google provides an environment where engineers can thrive and make a meaningful impact on the world.

In conclusion, if you are passionate about Machine Learning and eager to contribute to groundbreaking projects, Google invites you to join its journey in creating radically helpful experiences for users worldwide. Seize the opportunity to be at the forefront of technological innovation with Google Off Campus Drive 2024.

LocationBatchDegree
Banaglore2019B.E/B.TEch
Pune2020M.E/M.Tech
Hyderabad2021BCA
Mumbai2022MCA
Chennai2023BBA
Delhi2024MBA
Gurgaon2025B.Sc

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