Job Description
Position: ML Model Integration Associate
Function: MLOps
Industry: Machine Learning
Grade: junior level
Location: Noida
Employment Type: Internship
Compensation: INR 8.6-25.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with mlops, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 0 years
Core Competencies Required: MLOps, Feature Engineering, Computer Vision/NLP Basics, Python
Further Information:
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.
Function: MLOps
Industry: Machine Learning
Grade: junior level
Location: Noida
Employment Type: Internship
Compensation: INR 8.6-25.1 LPA
The organisation invites applications for the above-referenced position. The incumbent shall be responsible for discharging duties associated with mlops, in accordance with the standards and processes laid down by Machine Learning.
Minimum Qualification: B.Tech (CS/AI)
Minimum Experience: 0 years
Core Competencies Required: MLOps, Feature Engineering, Computer Vision/NLP Basics, Python
Further Information:
Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done. Skip-level conversations with senior leadership are encouraged at least twice a year to discuss career direction. High performers in this role typically move into a broader ownership scope within 18-24 months. The organisation has historically promoted from within for a majority of its senior and lead openings. No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. New joiners typically get a short structured onboarding before being handed independent ownership of their first deliverables.