BriefCase
BriefCase

Ml Ops + Gcp Job in Bytes To Bots Consultancy Services Private Limited

Ml Ops + Gcp

Bytes To Bots Consultancy Services Private Limited 4+ weeks ago
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Job Summary

Roles and Responsibilities

hiring for INCEDO

Role and responsibilities

  • Project Management (50%)
  • Front Door (Requirements, Metadata collection, classification & security clearance)
  • Data pipeline template development
  • Data pipeline Monitoring development & support (operations)
  • Design, develop, deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation tracking dashboards.
  • Manage ETL and machine learning model lifecycle: develop, deploy, monitor, maintain, and update data and models in production.
  • Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.

  • Technical skills requirements

    The candidate must demonstrate proficiency in,

    Experience deploying machine learning models into production environment.

    Strong DevOps, Data Engineering and ML background with Cloud platforms

    Experience in containerization and orchestration (such as Docker, Kubernetes)

    Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open source frameworks.

    Experience building/operating systems for data extraction, ingestion and processing of large data sets

    Experience with MLOps tools such as MLFlow and Kubeflow

    Experience in Python scripting

    Experience with CI/CD

  • Fluency in Python data tools e.g. Pandas, Dask, or Pyspark
  • Experience working on large scale, distributed systems
  • Python/Scala for data pipelines
  • Scala/Java/Python for micro-services and APIs
  • HDP, Oracle skills & Sql; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC)

    • Nice-to-have skills

  • Jenkins, K8S
  • Google Cloud certification
  • Unix or Shell scripting

    • Qualifications

    • B.Tech., M.Tech. or MCA degree from a reputed university
    Experience Required :

    3 to 6 Years

    Vacancy :

    2 - 4 Hires

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