Job Description

MLOPS Engineer

  • MLOPS Engineer with 3 to 8 years of experience
  • Data processing in Pandas , NumPy and Pyspark & Big Data
  • AWS Services such as Glue, Serverless computing etc.
  • Docker, K8 & Container Technology
  • Basic understanding of ML
  • Writing optimized SQL queries, Basic understanding of MongoDB & PostgreSQL DB
  • Programming best practices, code quality and unit testing and code coverage
  • Basic understanding of CI/CD, Performance Testing, Error & Exception Handling etc.
  • Good Communication Skills
  • Sense of ownership - Taking initiative and responsibility
  • Databricks - Good to have

Skills

  • MLOps
  • Pandas (Software)
  • numpy
  • PySpark
  • Big Data
  • AWS
  • Glue
  • Docker
  • MongoDb
  • K8

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Apr 16, 2024

Experience

2 to 10 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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