ML/AI Engineer Consultant

IBM

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Posted
2 days ago
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Confirmed live today

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How this pay compares to similar roles

Similar $207k
$137k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $162,000–$251,937.

Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

IBM currently has 455 open roles on FindRole.

Listed pay typically runs $175,656–$211,800 across 7 roles with salary data.

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TL;DR · ML/AI Engineer Consultant

ML/AI Engineer – Consultant As an ML/AI Engineer within the IBM Consulting team, you will build reliable, well-engineered software that applies machine learning and modern AI techniques to solve real business problems. Your daily responsibilities include implementing models, features, and application logic based on clear specifications while ensuring code is clean, tested, and maintainable. You will evaluate and validate solution performance using specific metrics and utilize modern tools like Claude and Copilot to accelerate development. The role requires proficiency in Python, version control, and core machine learning frameworks such as scikit-learn, PyTorch, or TensorFlow. You must possess strong data fluency to interpret statistical results and identify relevant features. Ultimately, you will bridge the gap between business requirements and technical execution, translating complex needs into functional solutions while communicating progress clearly to both technical and non-technical stakeholders.

What you'll do

  • Implement machine learning models, features, and application logic based on clear technical specifications.
  • Write clean, tested, and maintainable code using version control and standard peer review processes.
  • Measure and validate model performance against specific metrics to ensure correct outputs.
  • Utilize LLM and agentic tools like Claude or Copilot to accelerate development while ensuring quality.
  • Translate complex business requirements into technical solutions and evaluate them against business metrics.
  • Communicate progress, results, and potential blockers clearly to both technical and non-technical stakeholders.
  • Analyze statistical data to identify relevant features for solution development.

What we're looking for

  • Master's Degree (preferred).
  • Working knowledge of core ML concepts and common frameworks like scikit-learn, PyTorch, or TensorFlow.
  • Proficiency in Python or similar languages with a focus on writing tested, readable, and maintainable code.
  • Experience with version control, testing, and code review processes.
  • Ability to interpret statistical data and identify relevant features for solution development.
  • Exposure to LLM/agentic developer tools and prompt basics (preferred).
  • Ability to communicate technical work clearly to both teammates and non-experts.

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