We are seeking a Technical Support Engineer with a strong focus on MLOps to provide enterprise-level assistance to our customers. In this role, you will diagnose and troubleshoot issues related to machine learning models, frameworks, and deployment pipelines.
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- Ownership of Issues: Take ownership of customer issues related to machine learning applications and see problems through to resolution.
- Research and Diagnosis: Research, diagnose, troubleshoot,
and identify solutions for software and hardware issues specifically related to machine learning environments.
- Technical Support: Provide support for ML frameworks (e.g., TensorFlow, PyTorch) and tools (e.g., MLflow, Kubeflow) used in model training and deployment.
- Network Configuration: Assist clients with network configuration issues that may affect ML model performance and data access.
- Remote Support: Use remote desktop connections to provide immediate support and guidance to clients facing technical challenges in their ML workflows.
- Communication: Communicate effectively via email, chat, and phone to provide transparent instructions and technical manuals to clients.
- Collaboration: Work closely with the Customer Success Manager and data science teams to ensure seamless support and integration of ML solutions.
- Escalation: Properly escalate unresolved issues to appropriate internal teams, such as data scientists or software developers, when necessary.
📌 Technical Support Engineer (India)
🏢 CodeRound AI
📍 India
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