MLOps Architect
7 days ago
Job Summary :
We are seeking an experienced MLOps Architect to join our Agile team in building cutting-edge healthcare applications.
You will be responsible for deploying, managing, and monitoring machine learning models in production environments while ensuring adherence to the best development standards.
Key Responsibilities :
- Deploy, manage, and monitor machine learning models in production.
- Collaborate with data scientists and engineers to design, implement, and optimize ML pipelines.
- Design and implement automated testing and validation processes for ML models.
- Develop and maintain infrastructure and tools for ML model training and deployment.
- Continuously improve performance, scalability, and reliability of ML infrastructure.
- Stay updated with the latest developments in ML, cloud computing, and DevOps practices.
Required Skills & Experience :
- Minimum 4 years of experience in machine learning operations or a related field.
- Strong understanding of AWS, GCP, or Azure technologies (EC2, S3, Lambda, Terraform, SageMaker).
- Proficiency in Python, Java, or C++.
- Hands-on experience with SageMaker Domains, Studio Lab, Model Registry, Pipelines, and Monitoring.
- Experience with containerization technologies (Docker, Kubernetes).
- Knowledge of version control systems (Git).
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Fluent in written and verbal English
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