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Databricks + AI ML Ops

  • Source: Naukri
  • Marconix
  • On-site
  • Bengaluru
  • Full-Time
  • Mid level

Job Description

Roles and Responsibilities :

  • Design, develop, test, deploy and maintain large-scale data pipelines using AWS services such as S3, Lambda, Step Functions.
  • Collaborate with cross-functional teams to identify business requirements and design solutions that meet those needs.
  • Develop machine learning models using PySpark and Python libraries like scikit-learn or TensorFlow.
  • Troubleshoot issues related to data processing, model deployment, and system performance.

Job Requirements :

  • 8-12 years of experience in IT Services & Consulting industry with expertise in ML Engineer role.
  • Strong understanding of AWS services including S3, Lambda, Step Functions, REST APIs etc. .
  • Proficiency in programming languages such as Python with experience working on projects involving machine learning algorithms (e.g., retrieval augmented generation).
  • Experience with containerization using Docker containers.

Skills

  • azure-databricks
  • databricks
  • amazon-web-services
  • amazon-s3
  • aws-lambda
  • aws-step-functions
  • pyspark
  • Python
  • Scikit-learn
  • Tensorflow
  • elearning-lms
  • Docker

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