1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Understand ML requirements and develop ML workflows.
- Automate ML pipelines for scheduling, monitoring, status notification, and resiliency.
- Collaborate with analysts, data engineers, data scientists, and visualization developers on end-to-end ML pipeline delivery.
- Write robust and maintainable code.
- Develop reusable packages and libraries to streamline ML workflows.
- Create and improve development and operations documentation for ML workflows.
- Investigate and resolve production issues.
- Participate in code reviews and provide support and guidance to other engineers.
- Participate in Agile ceremonies and project management requirements.
Requirements
- At least 5 years of experience is required.
- 15 years of full-time education is required.
- Significant experience developing ML pipelines with Python and Python ML ecosystem packages such as pandas and scikit-learn.
- Significant experience with advanced Python programming, including object-oriented programming and application development.
- Significant experience developing cloud-based ML pipelines; GCP is preferred, with comparable cloud platforms also relevant.
- Strong understanding of CI/CD tools such as GitHub Workflows.
- Strong understanding of orchestration frameworks such as Airflow.
- Strong verbal and written communication skills and ability to work with technical and non-technical colleagues.
- Experience with Agile software development such as Kanban and Scrum.
Tech Stack
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.