Posted:20 hours ago| Platform: Linkedin logo

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Remote

Job Type

Full Time

Job Description

Job Title: ML Ops Engineer (Immediate Joiner)

Experience:

Location:


Role Overview

ML Ops Engineer

.

Mandatory Skills

  • Strong hands-on experience in AWS SageMaker (Pipelines, Inference, Monitoring).

  • Proficiency with TensorFlow and PyTorch

    for deploying models in production.
  • Experience deploying Transformer-based models

    (BERT, SBERT, DistilBERT, etc.).
  • Strong background in ML Ops

    including CI/CD, monitoring, model packaging, and rollout strategies.
  • Containerization & Orchestration:

    Docker + ECS/EKS or Kubernetes.
  • Knowledge of distributed inference, autoscaling, and GPU optimization.

  • Experience building scalable pipelines

    for large-scale multimedia (image/video/text) processing.


Soft Skills

  • Strong problem-solving and debugging capabilities.
  • Ability to effectively collaborate with ML, Data Engineering, DevOps, and Product teams.
  • Strong ownership, communication, and documentation discipline.

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