Tiger AnalyticsMexico

ML Engineer

Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment.

Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks/Python, and other technologies offered by Microsoft Azure. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines.

Requirements

Must-have skillset:

  • Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models
  • Programming Skills – Hands-on experience in statistical programming languages like Python, and database query languages like SQL
  • Cloud (Azure) – Experience in Databricks and ADF is needed
  • Model deployment experience is needed
  • Experience with version control systems like GitHub and CI/CD tools. Knowledge of MLOps/ DevOps and deploying ML models is required
  • Experience using MLFlow, Kubeflow etc. will be preferred

Good to have skillset:

  • Hands on Dashboard and Report development in PowerBI
  • Experience with Blob storage
  • Experience executing and contributing to ML OPS automation infrastructure is good to have

Please ensure that you regularly check the email address that you provide during the application process for any updates from potential employers. Your application status, interview invitations, or job offers will be sent via email. Respond promptly to maintain your candidacy.