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...
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