Live opening · Posted 20 hours ago

AI Engineer + ML ops

GC Technologies Pvt Ltd · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 20 hours ago
CompanyGC Technologies Pvt Ltd
LocationIndia (Remote)
Work modeYes
SourceLinkedin
Listed20 hours ago

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About the role

Description supplied by the original job listing.

Client: MNC
Payroll: VARITE INDIA PVT LTD
Note: Moved to direct payroll after 3-6 months, subject to BGV report Clearance.
Note: You can share the updated cv and UAN History or one payslip of the latest two years of exp to process the profile without any delay( Mail : manpreet@gsctechsoft.com).
( Verification of the UAN History or one payslip is to avoid fake profiles)
Requirement: AI Engineer + ML ops
Exp:5+ Years
Location: Any Location in INDIA(WFO)
Max NP: Serving within 30days
Must-Have Skills
• 4+ years in ML/AI engineering or DevOps with hands-on production MLOps pipeline experience.
• CI/CD tooling: CI tooling (UV, Ruff, Pyrefly), Jenkins (strong), Azure DevOps, GitOps concepts; Git and pre-commit workflows.
• Databricks ML pipelines (Delta Lake, Workflows, MLflow), Asset Bundles and PySpark for data processing.
• Model serving: FastAPI, Docker, AKS; exposure to vLLM and ONNX/TensorRT optimization.
• Python (strong — FastAPI, Pydantic, async), Bash, YAML/SQL scripting.
• Cloud knowledge – Azure/AWS/GCP Storage, AI related services.
• Databases and storage: PostgreSQL, Redis, ADLS Gen2.
• Understanding of containerization, Helm, and infrastructure automation.
Nice to Have
• Airflow, DVC, and experiment tracking (W&B / Comet ML).
• Terraform, KEDA, Azure APIM, and AAD RBAC configuration.
• LLM fine-tuning pipelines; Ray Serve or BentoML exposure.
• Groovy (Jenkinsfile).
• Manufacturing or semiconductor domain experience.

Work arrangement
Yes

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