
Advanced Machine Learning Operations Specialist
1 week ago
We are seeking an experienced MLOps professional to lead our AI and ML initiatives.
Key Responsibilities:- Design, develop, and maintain scalable machine learning models and infrastructure.
- Collaborate with cross-functional teams to automate deployment and optimization of AI/ML workloads.
- Ensure seamless integration of ML solutions with existing systems and tools.
- 7+ years of experience in DevOps, MLOps, or infrastructure engineering.
- Strong expertise in Python programming language.
- Hands-on experience with cloud services, including Jenkins/Harness and Kubernetes/Terraform.
As a senior MLOps engineer, you will be responsible for maintaining the overall quality and performance of our GenAI platform. You will work closely with various teams to ensure that ML solutions are integrated seamlessly into our existing systems and tools. In addition, you will collaborate with other engineers to optimize and automate the deployment of AI/ML workloads.
Preferred Qualifications:- Experience with containerization using Docker and orchestration using Kubernetes.
- Knowledge of continuous integration and continuous deployment (CI/CD) pipelines.
- Ability to work in a fast-paced environment and prioritize tasks effectively.
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