AI/ML Engineer – Technical Interview Panel Expert

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Experience Level:

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Job Summary:

AI/ML Engineer

The expert will participate in designing, structuring, and executing high-quality technical interviews for AI and ML engineering roles.

Key Responsibilities:

• Conduct

  technical interviews

  and evaluate ML model-building, deployment, and optimization skills.
• Assess candidates’ ability to handle

  data preprocessing, feature engineering, and algorithm selection

  .
• Review coding exercises, model evaluation approaches, and real-world ML project experience.
• Collaborate with recruitment teams to define competency frameworks for AI/ML candidates.
• Mentor and guide junior interviewers in technical evaluation standards.
• Contribute to AI skill benchmarking and interview question banks.

Technical Expertise:

• Deep expertise in

  Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy

  .
• Experience with

  model deployment (Flask, FastAPI, AWS Sagemaker, Azure ML)

  .
• Familiarity with

  MLOps, Docker, Kubernetes, and MLflow

  .
• Understanding of

  data pipelines, model evaluation metrics, and ML reproducibility

  .

Preferred Qualifications:

• Master’s degree in AI, Machine Learning, or Computer Science.
• Hands-on experience in

  end-to-end ML project lifecycle

  .
• Prior experience as

  technical interviewer / panel member

  for AI talent screening.