MLOPS Engineer

Overview

On Site
$100,000 - $120,000
Full Time

Skills

Machine Learning Operations (ML Ops)
Git
Python
Machine Learning (ML)
Data Science
DevOps

Job Details

Required Qualifications:

  • At least 4 years of experience in Information Technology
  • At least 4 years of experience in Information Technology in MLOPS.
  • At least 4 years of experience Python Programming for ML Model deployment with Clean code standards.
  • At least 4 years of experience in understanding of how Python works and expertise using Pandas, SKLearn, Dart, Gradient Boosting Machines Libraries (XGBoost, LightGBM, Catboost), Prophet, Ray and Dask.
  • At least 4 years of experience in AZURE or Google Cloud Platform Cloud environment.
  • Azure Certified DP100, AZ/AI900 or Google Cloud Platform equivalent including DevOps certification.
  • Professional experience setting up MLOPs Framework, monitoring and dashboarding of MLOPs runs.
  • Deep understanding of traditional machine learning and the data science lifecycle, CRISP-DM knowledge.
  • At least 2 years of experience in MLOPS Framework, industry standards and operations KPI

Preferred Qualifications:

  • Experienced in Agile way of working, manage team effort and track through JIRA.
  • High Impact client communication.
  • Domain experience in Retail, CPG and Logistics.
  • Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs.
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