Senior MLOps Engineer – NeGD
Quick Info
- Vacancies
- Vacancies: 1
- Employment Type
- Employment Type: Contract
- Qualification
- Qualification: Candidates must hold a Bachelor's degree (B.E./B.Tech) in Computer Science, Engineering, Mathematics, or a related technical field from a recognized university. A Master's degree (M.Tech/MS) in Machine Learning, Computer Science, Artificial Intelligence, or a related field is desirable.
- Experience Required
- Experience Required: Minimum 8-10 years of hands-on experience in production ML infrastructure engineering, with at least 2 years dedicated to large-scale model deployment and MLOps.
- Application Mode
- Application Mode: Online
- Deadline
- Deadline:
NeGD is recruiting for the position of Senior MLOps Engineer, with one vacancy available. This role is crucial for building the MLOps backbone for enterprise generative AI, requiring deep expertise in LLM serving engines and distributed GPU systems. Applicants should have a Bachelor's degree in Computer Science or a related technical field, along with 8-10 years of relevant experience in production ML infrastructure engineering.
- One vacancy is available for the Senior MLOps Engineer role.
- Candidates must have a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.
- A minimum of 8-10 years of hands-on experience in production ML infrastructure engineering is required.
- The maximum age limit for applicants is 55 years.
- This is a contract-based position for an initial period of 3 years.
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Additional Salary Information
Refer official detailed notification
Important Dates
Selection Process
Screening of applications based on qualifications, age, and relevant experience.
NeGD reserves the right to fix higher thresholds for screening.
Only shortlisted candidates will be invited for interviews.
NeGD reserves the right to not select any candidate without assigning a reason.
Application Fees
Refer official detailed notification
Reservation
Refer official detailed notification
How to Apply
- Eligible candidates may apply ONLINE through the provided link.
- Last date for submission of applications is 27.03.2025.
Frequently Asked Questions
The official notification does not specify a direct salary for the Senior MLOps Engineer role. Candidates should refer to the detailed notification for pay scale information.
Candidates for the Senior MLOps Engineer role must hold a Bachelor's degree (B.E./B.Tech) in Computer Science, Engineering, Mathematics, or a related technical field. A Master's degree (M.Tech/MS) in Machine Learning, Computer Science, or Artificial Intelligence is desirable.
The maximum age limit for the Senior MLOps Engineer position is 55 years as of the closing date for applications.