- 8+ years of experience in AI/ML engineering, machine learning, or related technical roles.
- Robust hands-on programming experience in Python.
- Solid understanding of machine learning algorithms and model development.
- Practical experience implementing MLOps pipelines and deploying ML models into production.
- Experience with tools such as MLflow, Kubeflow, or equivalent model lifecycle platforms.
- Hands-on experience with Docker, Kubernetes, Git, and CI/CD tools.
- Experience with cloud platforms such as AWS SageMaker, Azure Machine Learning, or Google Vertex AI.
- Knowledge of model monitoring, model registry, experiment tracking, and automated retraining.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 AI Engineer + ML ops (Bengaluru)
🏢 E4 Software Services
📍 Bengaluru
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