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MLOps Engineer

Exclusive opportunity

Onsite

MLOps Engineer

Orcapod Consulting Services

MLOps Engineer

Skills

DockerPythonKafkaDatabricksMachine LearningKubernetesApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


LOCATION:BENGALURU

TYPE:CONTRACTUAL

EXP.:5+ YEARS

Required Skills & Experience

  • Bachelors or Master’s degree in Engineering, Computer Science, Robotics, or related field.
  • 5+ years(Tech lead) of experience in data labeling, data operations, data quality, or ML dataset management—preferably in autonomous driving.
  • Strong programming skills in Python, with familiarity in C++ preferred.
  • Hands-on experience with MLOps frameworks: MLflow, Kubeflow, Airflow, Argo, Azure ML, Databricks or similar.
  • Strong understanding of Docker, Kubernetes, CI/CD, and distributed training.
  • Experience with data pipeline technologies (Kafka, Spark, Delta Lake, Databricks).
  • Good understanding of multimodal autonomous driving data (camera, LiDAR, radar).
  • Proven experience deploying models to cloud, edge, or embedded devices.
  • Experience with real-time systems and embedded CI/CD pipelines.

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