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MLOps Engineer @ Affine Analytics

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 MLOps Engineer

Job Description

Machine Learning & Data Pipelines

  • Strong understanding of Machine Learning principles, lifecycle, and deployment practices
  • Experience in designing and building ML pipelines
  • Knowledge of deploying ML models on AWS Lambda, EKS, or other relevant services
  • Working knowledge of Apache Airflow for orchestration of data workflows
  • Proficiency in Python for scripting, automation, and ML model development with Data Scientists
  • Basic understanding of SQL for querying and data analysis

Cloud and DevOps Experience

  • Hands-on experience with AWS services, including but not limited to: AWS Glue, Lambda, S3, SQS, SNS
    Proficient in checking and interpreting CloudWatch logs and setting up alarm.
  • Infrastructure as Code (IaC) experience using Terraform
  • Experience with CI/CD pipelines, particularly using GitLab for code and infrastructure deployments
  • Understanding of cloud cost optimization and budgeting, with the ability to assess cost implications of various AWS services

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time

Contact Details:

Company: Affine Analytics
Location(s): Bengaluru

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Keyskills:   Machine Learning S3 AWS Lambda MLOps SQS AWS Glue SNS EKS Lambda Python

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Affine Analytics

Affine Analytics Pvt Ltd http://affineanalytics.com/