MLOps / AI Engineer
MLOps / AI Engineer
Job Description:
We are seeking an AI/MLOps Engineer to build and maintain scalable AI/ML infrastructure, streamline model deployment, and optimize workflows for production environments. You will collaborate with data scientists and engineers to enhance automation, monitoring, and performance of AI/ML models.
Key Responsibilities:
- Design, deploy, and manage ML pipelines for training, testing, and inference.
- Automate and optimize AI/ML workflows using MLOps best practices.
- Develop CI/CD pipelines for model deployment and updates.
- Monitor and troubleshoot model performance in production.
- Ensure scalability, security, and compliance in AI/ML systems.
Requirements:
- Experience with MLOps tools (Kubeflow, MLflow, Airflow, etc.).
- Strong programming skills in Python and experience with TensorFlow/PyTorch.
- Proficiency in containerization (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
- Hands-on experience with CI/CD, version control (Git), and model monitoring.
- Understanding of AI/ML model lifecycle and performance optimization.
FAQs
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