Google Off Campus Drive 2024: Google a leading company, is set to conduct an Off Campus Drive in 2024, offering opportunities for freshers to join as Google intern Engineer for Bangalore Office. A student with having bachelor’s degree in various disciplines can apply for the Google off campus drive 2024. Interested and eligible candidates can read more details below.
About Google:
Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Google Off Campus 2024:
| Company Name | |
| Post Name | Machine Learning Engineer |
| Expected Salary | up to ₹10 LPA * |
| Job Location | Bangalore/Hyderabad |
| Experience | Freshers/Experience |
| Batch | 2024 and before |
| Website | Google.com |
| Last date to apply | Apply ASAP |
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Google Off Campus Responsibilities:
- Work on machine learning (ML) projects with a primary focus on speech and audio applications, leveraging the latest techniques and approaches, particularly using Generative AI and LLM.
- Engage in memory and performance optimization to ensure the seamless deployment of ML models on Google hardware.
- Collaborate closely with product, research, and software teams to comprehend ML requirements and deliver solutions that meet key user experiences.
- Work alongside tools and architecture teams to streamline the deployment, validation, and testing processes specifically tailored for Google hardware.
- Play a pivotal role in the development of ML models fine-tuned for Google hardware devices.
Google Off Campus Eligibility Criteria:
- Bachelor’s degree in Electrical Engineering or Computer Science or equivalent practical experience.
- PhD or Master degree in signal processing, data science and machine learning.
Preferred skill:
- Experience in C/C++ or Python programming and Machine Learning.
- PhD or Master degree in signal processing, data science and machine learning.
- Experience in audio, speech, and machine learning.
- Experience in DSP and knowledge of embedded systems.
- Excellent problem-solving, analytical, communication and teamwork skills.
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Google off Campus Selection Process:
The Google selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:
- Online Application: The process begins with candidates submitting their applications through Google official careers website. Providing accurate and comprehensive information on your resume and application is essential.
- Resume Screening: The Google recruitment team reviews all incoming applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
- Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities. These assessments can cover a wide range of topics, including coding, problem-solving, and domain-specific knowledge.
- Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews. These interviews assess a candidate’s technical expertise, coding skills, problem-solving capabilities
- Offer: If a candidate successfully navigates all interview stages and reference checks, they will receive a formal job offer. The offer will include details such as compensation, benefits, and other terms of employment.
- Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
- Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the Google onboarding process. This includes orientation, training, and integration into the team.
Please note that the specific details of the Google selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.
Why Join Google?
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Industry leading healthcare
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Educational resources
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Savings and investments
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Maternity and paternity leave
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Opportunities to network and connect
How to Apply for Google Off Campus Drive 2024?
To apply for this Off Campus Drive, interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to the official career page.
- Click on “Apply”.
- If you have not registered before, create an account.
- After registration, log in and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Verify that all the details entered are correct.
- Submit the application form after verification.
If you face any issues while applying. Do let us know in the comment section.
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What is the expected salary for the Machine Learning Engineer position at Google?
The expected salary for the Machine Learning Engineer position at Google is up to ₹10 LPA.
What are the responsibilities of a Machine Learning Engineer at Google?
Responsibilities include working on ML projects with a focus on speech and audio applications, engaging in memory and performance optimization, collaborating with product and research teams, working on deployment processes, and developing ML models for Google hardware devices.
What are the eligibility criteria for the Google off-campus recruitment for the Machine Learning Engineer role?
Bachelor’s degree in Electrical Engineering or Computer Science or equivalent practical experience. PhD or Master degree in signal processing, data science, and machine learning.
What are the preferred skills for the Machine Learning Engineer position at Google?
Preferred skills include experience in C/C++ or Python programming and Machine Learning, experience in audio, speech, and machine learning, experience in DSP and knowledge of embedded systems, and excellent problem-solving, analytical, communication, and teamwork skills.
What is the selection process for the Machine Learning Engineer position at Google?
The selection process includes online application, resume screening, online assessments, technical interviews, offer, background check, and onboarding.
Disclaimer: The recruitment information provided is for informational purposes only. It has been obtained from the official website of the organization, and we have no affiliation with the company. We do not provide any recruitment guarantees, The hiring process is to be conducted according to the official recruitment procedures of the company. There is no fee charged for providing this job information. For more details, please visit the Privacy Policy page.
<p>The post Google Off Campus Hiring For Machine Learning Engineer | Apply Link! first appeared on Job4freshers.</p>