
Leading MLOps Solutions Developer
2 weeks ago
We are seeking an experienced MLOps engineer to drive our AI and machine learning initiatives forward.
The ideal candidate will have strong hands-on skills in Python, Jenkins/Harness, Kubernetes/Terraform, and cloud services.
- Primary Responsibilities:
- Develop and implement scalable and efficient MLOps solutions that meet business needs.
- Collaborate with cross-functional teams to integrate ML models into production environments.
- Design and maintain automated pipelines for ML model deployment and testing.
- Optimize infrastructure for large-scale ML workloads.
- Stay up-to-date with industry trends and best practices in MLOps.
Essential Requirements:
- Technical graduate degree.
- Minimum 7 years of experience in DevOps, MLOps, or infrastructure engineering.
- Strong understanding of cloud services and scalability principles.
- Hands-on experience with Python, Jenkins/Harness, Kubernetes/Terraform, and containerization.
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