SRE - AI ML Support Engineer - JD We are hiring a SRE Site Reliability Engineer AI ML Support engineer for our Enterprise-grade high- performance supercomputing platform We are helping enterprises and service providers build their AI inference platforms for end users powered by our state-of-the-art RDU Reconfigurable Dataflow Unit hardware architecture Our cloud-agnostic enterprise-grade MLOps platform abstracts infrastructure complexity and enables seamless deployment management and scaling of foundation model workloads at production scale You ll contribute to the core of our enterprise-grade AI platform collaborating across teams to ensure our systems are performant secure and built to last This is a high-impact high-visibility role working at the intersection of AI infrastructure enterprise software and developer experience Minimum Requirements Foundational ML knowledge with hands-on experience working with machine learning models especially large language models LLMs and LLM APIs Strong programming skills in Python including working with ML frameworks PyTorch Huggingface LangChain etc as well as building scripts automation Solid understanding of Generative AI concepts such as RAG and applied use cases Exposure to Linux systems and familiarity with troubleshooting environment setup issues Ability to investigate triage and resolve customer or internal issues related to ML workflows APIs and AI-based applications Experience with issue tracking documentation and collaboration platforms e g ticketing systems project tracking tools knowledge bases Proficiency with Docker for containerization and shell scripting for system automation Good communication and collaboration skills to work with cross-functional teams as well as external customers or stakeholders Nice to have Familiarity with multi-modal models e g Llama 4 Maverick Familiarity with ML Ops practices - monitoring observability exposure to related libraries and frameworks like OpenSearch Prometheus and Grafana Strong hands-on exposure to Linux system administration and network administration including troubleshooting system monitoring and optimizing performance Experience working with Kubernetes on-prem deployments preferred for managing containerized ML workloads Exposure to one or more public cloud platforms AWS GCP Azure etc Solid customer-facing communication skills to handle escalations reliability concerns and solution discussions with stakeholders and clients in a B2B environment Ways to stand out from the crowd Prior experience working with APIs and SDKs of major LLM providers OpenAI Anthropic Hugging Face etc Demonstrated ability to resolve complex issues in production ML systems Knowledge of fine-tuning prompt engineering and optimizing LLM usage in production Job Type Full-time Pay 500 000 00 - 1 719 712 72 per year Benefits Provident Fund Work Location In person

📌 Sre - Ai Ml Support Engineer (Maharashtra)
🏢 CRUTZ LEELA ENTERPRISES
📍 Maharashtra