1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Design, build, and maintain scalable machine learning pipelines for model training.
- Deploy and serve secure machine learning models using Docker and FastAPI for batch and real-time inference.
- Implement CI/CD automation for ML projects, including testing, model validation, and deployment workflows.
- Manage the end-to-end machine learning lifecycle, including versioning, packaging, registration, and governance.
- Monitor model performance, data drift, and production system health, including alerts and dashboards.
- Initiate model retraining or tuning to maintain accuracy and efficiency.
- Collaborate across teams, contribute to key decisions, provide solutions, and mentor junior professionals.
- Evaluate and improve existing processes and workflows while acting as a subject matter expert.
Requirements
- At least 5 years of experience in Machine Learning Operations.
- 15 years of full-time education.
- Advanced Python and strong engineering experience.
- Proficiency in Machine Learning Operations and thorough understanding of infrastructure requirements for MLOps.
- Mandatory experience with MLflow and Airflow.
- Experience with cloud-based services, including AI services, and multi-cloud environments.
- Experience with machine learning frameworks and deploying and optimizing models for production environments.
Benefits
- The position is based at the Accenture Bengaluru office.
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.