Technical Support Engineer (Up to 13LPA)

𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗷𝗼𝗯
This role is for one of our client companies — a VC-backed startup that has raised $7.52M USD in funding.
𝗦𝗮𝗹𝗮𝗿𝘆: Up to 13LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
🚀 𝗪𝗵𝗮𝘁 𝗪𝗲'𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴
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.
🚀 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 (2+ 𝗬𝗲𝗮𝗿𝘀 𝗼𝗳 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲)
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.
🧩 𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗗𝗼
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.
✅ 𝗬𝗼𝘂'𝗿𝗲 𝗮 𝗚𝗿𝗲𝗮𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂
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.
✨ 𝗪𝗵𝘆 𝗝𝗼𝗶𝗻 𝗨𝘀?
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

Work arrangement
No