Sunware Technologies - Technical Support Engineer - AI/ML Platform

Job Title : AI/ML- Technical Support Engineer. Location : Chennai Experience : 4- 7 Years Job Summary : We are looking for a skilled AI/ML- Technical Support Tier 2 Engineer to support and troubleshoot advanced AI/ML systems and cloud-based solutions. The ideal candidate will have strong expertise in compute infrastructure, cloud platforms, and Generative AI technologies, along with hands-on experience in model development and deployment. This role involves diagnosing complex technical issues, supporting AI/ML workloads, and collaborating with cross-functional teams to ensure reliable and scalable solutions. Key Responsibilities : - Provide Tier 2 technical support for AI/ML platforms and cloud-based solutions - Troubleshoot and resolve issues related to ML models, infrastructure, and applications - Support Generative AI solutions including LLM-based systems - Work with cloud platforms such as GCP, AWS, and Azure - Diagnose issues in distributed systems, containers, and virtualized environments - Collaborate with engineering teams to debug, optimize, and deploy ML models - Analyze logs, metrics, and system behavior to identify root causes - Follow and improve support methodologies, including case lifecycle management - Ensure adherence to SLAs and support quality standards Desired Competencies (Technical/Behavioral Competency) : Must-Have : - Ideally should be at least 3 years of hands-on with Linux Infra - Deep understanding of compute fundamentals (virtualization, OS, containers) - Experience with GCP, AWS, Azure AI/ML services - Generative AI & LLM experience (Vertex AI, Dialogflow, Gemini) - ML model development and deployment - Experience with PyTorch, TensorFlow, Jax, Ray, etc. - Experience with TPUs/GPUs and model architectures (encoders, decoders, transformers) - Troubleshooting code experience (Java, C, C++, Python, Shell, Go, JS) - AIML experience model development/deployment - Troubleshooting experience in diagnosis & issue resolution - Support methodology knowledge (case lifecycle, analysis) - Google Cloud Associate Cloud Engineer certification - CEFR B2 Communication Proficiency Good-to-Have : - Experience with MLOps tooling - Experience with distributed training frameworks Job Title : AI/ML- Technical Support Engineer. Location : Chennai Experience : 4- 7 Years Job Summary : We are looking for a skilled AI/ML- Technical Support Tier 2 Engineer to support and troubleshoot advanced AI/ML systems and cloud-based solutions. The ideal candidate will have strong expertise in compute infrastructure, cloud platforms, and Generative AI technologies, along with hands-on experience in model development and deployment. This role involves diagnosing complex technical issues, supporting AI/ML workloads, and collaborating with cross-functional teams to ensure reliable and scalable solutions. Key Responsibilities : - Provide Tier 2 technical support for AI/ML platforms and cloud-based solutions - Troubleshoot and resolve issues related to ML models, infrastructure, and applications - Support Generative AI solutions including LLM-based systems - Work with cloud platforms such as GCP, AWS, and Azure - Diagnose issues in distributed systems, containers, and virtualized environments - Collaborate with engineering teams to debug, optimize, and deploy ML models - Analyze logs, metrics, and system behavior to identify root causes - Follow and improve support methodologies, including case lifecycle management - Ensure adherence to SLAs and support quality standards Desired Competencies (Technical/Behavioral Competency) : Must-Have : - Ideally should be at least 3 years of hands-on with Linux Infra - Deep understanding of compute fundamentals (virtualization, OS, containers) - Experience with GCP, AWS, Azure AI/ML services - Generative AI & LLM experience (Vertex AI, Dialogflow, Gemini) - ML model development and deployment - Experience with PyTorch, TensorFlow, Jax, Ray, etc. - Experience with TPUs/GPUs and model architectures (encoders, decoders, transformers) - Troubleshooting code experience (Java, C, C++, Python, Shell, Go, JS) - AIML experience model development/deployment - Troubleshooting experience in diagnosis & issue resolution - Support methodology knowledge (case lifecycle, analysis) - Google Cloud Associate Cloud Engineer certification - CEFR B2 Communication Proficiency Good-to-Have : - Experience with MLOps tooling - Experience with distributed training frameworks