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AI Model Deployment Engineer

AI Model Deployment Engineer

TerraGiGPune, Republic Of India, IN
12 days ago
Job description

We are looking for ML Ops Engineer

Experience : 6+ Years

Location : Pune, Mumbai, Bangalore, Hyderabad, Gurugram, Chandigarh

Shift : Full-time ( Noon timing- 3 : 30 pm - 12 : 30 am)

Required Skills :

MLOps, Python FastAPI, ML Models, DevOps

Responsibilities :

  • Build scalable apps using Python & FastAPI with database integration.
  • Review codebase and optimize existing ML models .
  • Deploy & integrate Hugging Face ML models .
  • Implement MLOps pipelines (training, deployment, monitoring).
  • Apply DevOps practices (Docker, Kubernetes, CI / CD, cloud).

Requirements :

  • Strong in Core Python, FastAPI / Flask / Django .
  • Experience in database integration (SQL / NoSQL).
  • Knowledge of ML lifecycle, MLOps & Hugging Face models .
  • DevOps / MLOps tools : Docker, Kubernetes, MLflow, CI / CD .
  • Cloud (AWS / GCP / Azure) exposure preferred.
  • Interested candidates please share your resume to balkis.begam@terragig.in along with the following details :

    Total Exp :

    Relevant Exp as MLops Engineer :

    Notice Period and LWD :

    Current Location :

    How many years of exp in Python :

    How many years of exp in FastAPI :

    How many years of exp in ML Models :

    How many years of exp in Devops :

    How many years of exp in SQL / NoSQL :

    Current CTC :

    Expected CTC :

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    Deployment Engineer • Pune, Republic Of India, IN

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