Posted 17 June, 2026
DNACRL _ MLOps _ India
ClifyX
India
Full Time
Reference: 365_594563_26-00530
Accounting (INR)
Posting Information
Billing Information
Job Position Details
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| Billable Per Diem | 0.00 | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
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Posting Information
| Job Posting Owner | Anthony |
|---|---|
| Coordinator | |
| Distributor | |
| Creator | Anthony |
| Create Date | 20/01/2026 |
| Submit Date | 20/01/2026 10:49 AM |
| Maximum Submissions per Supplier | 3 |
| Auto Invoice Type | None |
Billing Information
| Buyer Information | |
|---|---|
| Bill To INFOSYS: Plot No 44, Hosur Main Road Bengaluru, Karnataka IND | |
| NA | NA |
| Other |
Job Position Details
| Contingent Type | Contingent Type_Phase1_Generic | ||
|---|---|---|---|
| Buyer Reference | |||
| Job Code | |||
| Legal Entity | INFOSYS | ||
| Site | Not Applicable (NA) | ||
| Location | Not Applicable (NA) | ||
| Work Location: IND | |||
| Business Unit | DNACRL (DNACRL_PU) | ||
| Category | |||
| Labor Type | Business Professional | ||
| Positions Requested | 1 | ||
| Respond by Date | 20/02/2026 | ||
| Travel Time | 0.000 % | ||
| Time Sheet Type | No time sheets | ||
| Hours per Day | 9 | ||
| Hours per Week | 45 | ||
| Total Hours | 576.00 | ||
| Flat Adjustments | 0.00 | ||
| Description: • Cloud Platform Engineer responsible for provisioning & maintaining Azure Machine Learning platform cloud resources, along with Operations Support and automations for monitoring and setup processes. Also supporting all user engagement activities, as well as exploration of new technologies / capabilities • Experienced in designing, deploying, and managing cloud infrastructure on the Azure Platform. • Proficient in writing clean, maintainable code and solving complex problems using Python. Skilled in implementing security measures, troubleshooting issues, and collaborating cross-functional teams to design and implement scalable solutions aligned with business objectives | |||
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544792 | ||
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Pan India | ||
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(No Value) | ||
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(No Value) | ||
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(No Value) | ||
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Bada Majaw | ||
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7+ | ||
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Azure, Python | ||
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SQL | ||
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Retail- Client | ||
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PreOB | ||
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7+ | ||
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Infosys Standard | ||
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Infosys Standard | ||
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Face to Face | ||
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Hybrid | ||
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2 - 11 | ||
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Afternoon |
