SRE - AI_ML Support Engineer

1 day ago

Pune, Maharashtra, India CRUTZ LEELA ENTERPRISES Full time ₹ 5,00,000 - ₹ 17,19,712 per year

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)
  • Strong 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, ₹1,719,712.72 per year

Benefits:

  • Provident Fund

Work Location: In person

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