Job Description

Key Responsibilities:

  • Assist in building and validating machine learning models and generative AI solutions for business use cases.
  • Support the creation and maintenance of scalable ML pipelines including data preparation, feature engineering, training, and evaluation.
  • Collaborate with senior data scientists and engineers to fine‑tune models for performance and reliability in production environments.
  • Help integrate ML models into applications through APIs and system interfaces.
  • Monitor deployed models for accuracy, performance, and data quality; elevate issues as needed.
  • Contribute to ongoing research and benchmarking of AI tools and models to improve current solutions.
  • Work with data engineers to ensure high‑quality data ingestion and transformation pipelines.
  • Learn and apply version control and CI/CD practices in the ML lifecycle using tools like Git and Azure DevOps.
  • Use Azure servic...

Apply for this Position

Ready to join Consultz? Click the button below to submit your application.

Submit Application