Machine Learning Engineer(ML Ops)

5 - 8 years

13 - 23 Lacs

Posted:3 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

Skill Set Required:

  • Bachelors degree in software engineering/ computer science or related discipline
  • 5+ years of experience in machine learning operations or software/platform development.
  • Strong experience with Azure ML, Azure DevOps, Blob Storage, and containerized model deployments on Azure.
  • Strong knowledge of programming languages commonly used in AI/ML, such as Python, R, or C++.
  • Experience with Azure cloud platform, machine learning services and best practices.
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Experience with version control systems, such as Git, and CI/CD tools, such as Jenkins, GitLab CI/CD, or Azure DevOps.
  • Knowledge of containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.
  • Experience with Generative AI workflows, including prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG).
  • Exposure to GenAI frameworks: LangChain, LlamaIndex, Hugging Face Transformers, OpenAI API integration.
  • Experience deploying optimized models on edge devices using ONNX Runtime, TensorRT, OpenVINO, or TFLite.
  • Experience with with monitoring LLM outputs, feedback loops, or LLMOps best practices.
  • Familiarity with edge inference hardware like NVIDIA Jetson, Intel Movidius, or ARM Cortex-A/NPU devices.

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