Website Deloitte
Eligibility: Graduate
Experience: 4 Years
Job Location: Bangalore
Company Profile:
For over 175 years, we have worked with leaders around the world—from the Global 500® to private businesses—to help them build better futures. To support their people. To succeed. All while caring for our communities. With a workforce made up of the industry’s greatest minds, we continue to shape the future by delivering real, measurable results. We go beyond talk—we act.
Skills:
- Collaborate with data scientists, developers, and infrastructure teams to ensure seamless integration of machine learning models into production environments.
- Develop and implement ML-Ops best practices to streamline the end-to-end machine learning lifecycle, from model training and testing to deployment and monitoring.
- Design, build, and maintain scalable and reliable machine learning pipelines for data ingestion, preprocessing, feature engineering, model training, and deployment.
- Implement and manage continuous integration and continuous deployment (CI/CD) processes for machine learning models.
- Monitor the health and performance of deployed models, identifying and addressing issues related to data drift, model degradation, and performance bottlenecks.
- Automate model retraining and deployment processes to ensure models remain up to date with changing data and requirements.
- Collaborate with cross-functional teams to ensure data security, compliance, and privacy standards are met throughout the ML-Ops lifecycle.
- Drive improvements in the machine learning infrastructure by evaluating new tools, technologies, and processes.
- Participate in on-call rotations to address critical system issues as they arise.
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