Machine Learning Operations Specialist

4 days ago

Gurgaon, Haryana, India beBeeMLOps Full time ₹ 15,00,000 - ₹ 28,00,000
Senior MLOps Engineer

Job Description:

  • Develop high-performance, scalable machine learning operations systems that interact with AI models and systems.
  • Collaborate with cross-functional teams to understand requirements and ensure alignment with business goals.

Responsibilities:

  1. Design, develop, and maintain complex MLOps systems using Azure ML, Azure DevOps, Blob Storage, and containerized model deployments.
  2. Offer technical leadership in choosing, evaluating, and implementing software technologies, tools, and frameworks in a cloud-native environment.
  3. Troubleshoot intricate software problems to ensure optimal performance when interfacing with AI/ML systems.
  4. Participate in project planning and estimation to ensure efficient resource allocation and timely solution delivery.

Preferred Qualifications:

  • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
  • Knowledge of containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.
  • Hands-on experience with Generative AI workflows, including prompt engineering, LLM fine-tuning, or retrieval-augmented generation (RAG).

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