Technical Support Engineer (Up to 13LPA)

CodeRound AI · India

This role is for one of our client companies — a VC-backed startup that has raised $7.52M USD in funding.

: Up to 13LPA

Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.

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CodeRound AI matches the top 5% tech talent with the fastest-growing, VC-funded AI startups across Silicon Valley and India.

Top-tier product startups across the US, UK, EU, UAE, and India have hired top engineers through CodeRound.

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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 clear 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.

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• Proven Experience: Demonstrated experience as a Technical Support Engineer, MLOps Engineer, or similar role with a focus on machine learning technologies.
• Hands-On Experience: Proficiency with ML frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud platforms (e.g., AWS, Azure, GCP) for ML deployment.
• Technical Troubleshooting: Ability to diagnose and troubleshoot technical issues related to ML model performance, data pipelines, and infrastructure.
• Remote Desktop Applications: Familiarity with remote desktop applications and help desk software (e.g., Freshdesk) for efficient support delivery.
• Problem-Solving Skills: Excellent problem-solving and communication skills, with the ability to explain complex technical concepts in simple terms.
• Educational Background: BS degree in Information Technology, Computer Science, Data Science, or a relevant field.

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• Own meaningful product decisions from day one at a funded startup
• Work with a sharp team shipping fast in a high-growth environment
• Accelerate your career with outsized responsibility and visibility
• Build something that scales — not slide decks