remote
AI / ML Automation Engineer - Corvi Technologies
QA Engineer
Design and implement AI/ML-driven automation solutions for recurring financial reporting, building scalable data pipelines and deploying models on cloud infrastructure.
About the role
Key Responsibilities
- Design, develop, and maintain automated reporting workflows powered by machine learning models.
- Build robust data pipelines to ingest, transform, and validate financial data from multiple sources.
- Deploy and monitor ML models and automation scripts on cloud platforms, ensuring high availability and performance.
- Implement CI/CD practices to streamline code releases and model updates.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.
Requirements
- 3–7 years of experience in Python development and machine‑learning model lifecycle management.
- Proficiency in building data pipelines and automation scripts (e.g., Airflow, Prefect).
- Hands‑on experience with cloud services, preferably AWS (EC2, S3, Lambda, SageMaker).
- Familiarity with CI/CD tools such as GitLab CI, Jenkins, or GitHub Actions.
- Strong problem‑solving skills and ability to work in a fast‑paced financial services environment.
Skills
pythonmachine learningcicd