????? ??? ???This role is for one of our client companies — a VC-backed startup that has raised $7.52 M USD in funding.??????: Up to 13 LPAApply once and, if selected, get access to up to 20 remote and onsite interview opportunities.? ???? ??'?? ????????Code Round 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 Code Round.? ????????? ??????? ???????? (2+ ????? ?? ??????????)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.? ???? ???'?? ??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., Tensor Flow, Py Torch) 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.✅ ???'?? ? ????? ??? ?? ???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., Tensor Flow, Py Torch) 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 productive 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.✨ ??? ???? ???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

📌 Technical Support Engineer (up To 13lpa) (Chhattisgarh)
🏢 CodeRound AI
📍 Chhattisgarh