Expert Data Engineer for Large Language Models
1 week ago
Rackspace seeks a skilled GCP MLOps Engineer to join our team. As an MLOps Engineer, you will play a critical role in the development and deployment of large language models.
About the RoleAs an MLOps Engineer at Rackspace, you will be responsible for designing, building, and maintaining scalable data pipelines and machine learning workflows using cloud-based services such as Google Cloud Platform (GCP).
You will work closely with cross-functional teams to ensure the successful deployment and monitoring of large language models, including model versioning, deployment, and efficient resource utilization.
In this role, you will have the opportunity to leverage your expertise in public cloud services, machine learning frameworks, and DevOps principles to drive business growth and innovation.
Requirements- 4+ years of experience in ML Ops with a strong focus on large language models
- Experience building end-to-end data pipelines and deploying ML models in GCP
- Strong programming skills in SQL, Java, and Python
- Knowledge of containerization technologies such as Docker and Kubernetes
- Familiarity with model performance monitoring, data drift detection, and anomaly detection
- Competitive salary: ₹1,200,000 - ₹1,500,000 per annum
- Opportunity to work with cutting-edge technology and contribute to business growth
- Collaborative and dynamic work environment
- Ongoing training and professional development opportunities
Rackspace is a leading provider of cloud computing and IT solutions. We are committed to delivering exceptional customer experiences and driving business success through innovative technology and expertise.
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