Job Description

What You Will Do


  • Develop ML Models: Assist in the design and implementation of machine learning models to solve specific business problems.

  • Implement MLOps: Build and maintain CI/CD pipelines using Azure DevOps to automate the testing and deployment of ML models.

  • Manage Infrastructure: Use Terraform to provision and manage cloud infrastructure across Azure and Google Cloud Platform (GCP).

  • Monitor & Optimize: Track model performance in production and optimize infrastructure for cost and efficiency.

  • Collaborate on Architecture: Work with the engineering team to ensure data science code is production-ready and integrates smoothly with existing systems.

    • What You Bring

  • Experience: 3+ years of experience (or relevant internships/projects) in Data Science, DevOps, or Software Engineering.

  • Technical Expertise: Proficiency in Python and SQL. Knowledge of API development w...

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