Provider of platform for machine learning model training and deployment. It offers tools for fine-tuning, deploying, and observing machine learning models.
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. Your goal will be to ensure the seamless operation of ML systems and to assist our clients in leveraging these technologies effectively.
Responsibilities
- 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.
- Documentation: Document technical knowledge in the form of notes and manuals, particularly focusing on MLOps best practices and troubleshooting steps.
- Follow-Up: Ensure all issues are properly logged and follow up with clients to confirm their ML systems are fully functional post-troubleshooting.
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.
📌 Technical Support Engineer (Bengaluru)
🏢 CodeRound AI
📍 Bengaluru
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