CodeRound AI
Website:
coderound.io
Company:
https://www.linkedin.com/company/coderoundai
Seniority: Mid-Senior level
Industries: Technology, Information and Media
Job details:
๐๐ฏ๐ผ๐๐ ๐๐ต๐ฒ ๐ท๐ผ๐ฏ
This role is for one of our client companies โ a VC-backed startup that has raised $7.52M USD in funding.
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐: Up to 13LPA
Apply once and, if selected, get access to up to 20 remote and onsite interview opportunities.
๐ ๐ช๐ต๐ฎ๐ ๐ช๐ฒ'๐ฟ๐ฒ ๐๐๐ถ๐น๐ฑ๐ถ๐ป๐ด
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.
๐ ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ (2+ ๐ฌ๐ฒ๐ฎ๐ฟ๐ ๐ผ๐ณ ๐๐
๐ฝ๐ฒ๐ฟ๐ถ๐ฒ๐ป๐ฐ๐ฒ)
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.
๐งฉ ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐'๐น๐น ๐๐ผ
- 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.
โ
๐ฌ๐ผ๐'๐ฟ๐ฒ ๐ฎ ๐๐ฟ๐ฒ๐ฎ๐ ๐๐ถ๐ ๐๐ณ ๐ฌ๐ผ๐
- 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.
โจ ๐ช๐ต๐ ๐๐ผ๐ถ๐ป ๐จ๐?
- 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 โ not slide decks
Click on Apply to know more.
