Responsibilities
- Support the creation and deployment of machine learning models and algorithms under senior supervision, addressing client needs in banking, legal, and related industries.
- Contribute to implementing ML systems on AWS, with a focus on Amazon SageMaker, and help build automated CI/CD pipelines using infrastructure-as-code tools like CloudFormation and Terraform.
- Develop clear and efficient Python code for machine learning workflows and data processing; run experiments and assess model performance using metrics such as accuracy, precision, and recall.
- Collaborate with data scientists, ML engineers, and DevOps teams to transition models into production; attend sprint planning and client meetings to communicate technical progress clearly.
- Keep detailed records of data preparation, model configurations, and deployment procedures while adhering to data security standards and confidentiality rules for sensitive financial and legal information.
Work Arrangement
Hybrid
