Comcast Recruitment drive 2024: Comcast is hiring Machine Learning Intern through off campus Placement for Bangalore. A student from various disciplines can apply for the Comcast off campus drive 2024. Interested and eligible candidates can read more details below.
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Comcast Recruitment 2024:
| Company Name | Comcast |
| Post Name | Machine Learning Intern |
| Salary | up to ₹40K/Month * |
| Experience | Freshers/Experience |
| Batch | 2024 and before |
| Job Location | Chennai |
| Last date to apply | Apply ASAP |
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Always read details carefully before applying.
Comcast Recruitment Responsibilities:
- Regular, Consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) and overtime as necessary.
- Other duties and responsibilities as assigned.
- Responsible for MACD level changes in Genesys Cloud environment (configuration and applications)
- Provide timely progress reports on the reported issues to the appropriate
- Project Managers/Managers or any other internal teams and senior members of technical staff.
- Participate in a shift and ‘on-call’ roster as necessary, to provide support coverage outside of standard business hours.
Comcast Off Campus Eligibility Criteria:
- Bachelor degree from any streams
Preferred skill:
- Team player and quick learner
- Good Communication- Verbal and Non Verbal skills
- Multi-Tasking
- Good Team Player
Click here for HR Interview Questions and Answers
Comcast Selection Process:
The Comcast 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 Comcast official careers website. It’s essential to provide accurate and comprehensive information on your resume and application.
- Resume Screening: The Comcast 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.
- Phone Screening: Qualified candidates are often contacted for a preliminary phone screening interview. This interview is an opportunity for the recruiter or hiring manager to learn more about the candidate’s background, experience, and career goals.
- 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, and familiarity with Microsoft technologies.
- 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 Comcast onboarding process. This includes orientation, training, and integration into the team.
Please note that the specific details of the Comcast 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 Comcast ?
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Industry leading healthcare
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Educational resources
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Discounts on products and services
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Savings and investments
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Maternity and paternity leave
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Generous time away
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Giving programs
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Opportunities to network and connect
How to Apply for Comcast Recruitment 2023?
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 role of a Machine Learning Intern at Comcast?
The Machine Learning Intern at Comcast is responsible for MACD level changes in the Genesys Cloud environment, providing progress reports, and participating in shift and on-call duties as necessary.
What is the salary range for the Machine Learning Intern position at Comcast?
The expected salary for the Machine Learning Intern position at Comcast is up to ₹40K/Month.
Is the Machine Learning Intern position at Comcast open for both freshers and experienced candidates?
Yes, the position is open for both freshers and candidates with experience, including those from the batch of 2024 and earlier.
What are the key responsibilities of a Machine Learning Intern at Comcast?
Responsibilities include MACD level changes in the Genesys Cloud environment, providing progress reports, participating in shift and on-call duties, and other duties as assigned.
What qualifications are required for the Machine Learning Intern position at Comcast?
A bachelor's degree from any stream is required.
What are the preferred skills for candidates applying for the Machine Learning Intern role at Comcast?
Preferred skills include being a team player, quick learner, good communication (verbal and non-verbal), multitasking, and strong teamwork.
What is the selection process for the Machine Learning Intern position at Comcast?
The selection process includes an online application, resume screening, online assessments, phone screening, technical interviews, offer, background check, and onboarding.
