ML/AI Engineer – Consultant

IBM Consulting helps organizations advance their hybrid cloud and AI journeys through client collaboration and technology solutions. This role builds reliable ML/AI software and data engineering components, evaluates model performance, uses modern AI tooling, and communicates technical results while connecting business requirements to technical solutions.

What you'll do:

• Build ML/AI components: implement models, features, and application logic against clear specifications, choosing appropriate methods from established approaches
• Engineer for quality: write clean, readable, tested code; use version control, code review, and the team's standards as a matter of habit. Get the details right and verify your own work against acceptance criteria before it's called done
• Evaluate & validate: measure model/solution performance with the right metrics and confirm outputs are correct, and not just that the code runs
• Accelerate with modern AI: use LLM/agentic tools (e.g., Claude, Copilot) to move faster, while reviewing and validating everything the AI produces
• Communicate: clearly present your results and progress to the team; flag blockers and slippage early
• Bridge Business and Technology: Translate requirements, evaluate against business metrics

What they're looking for:

• • Applied ML/AI foundations: working knowledge of core ML concepts and common frameworks (e.g., scikit-learn, PyTorch/TensorFlow); able to apply them to defined problems
• • Data fluency: able to work with data, interpret results, and identify relevant features
• • Detail & execution: a track record of delivering assigned work reliably and accurately
• • Data Analysis Skills: Ability to interpret statistical data and identify relevant features to inform solution development
• • Modern AI tooling: exposure to LLM/agentic developer tools and prompt basics. Use Claude, Copilot, LLM agents for acceleration
• • Solid software engineering: proficiency in Python (or similar); comfortable with version control, testing, and code review. You care about correctness and readable, maintainable code
• • Communication & business awareness: explains technical work clearly to teammates and non-experts, and is starting to connect the “why” (business need) to the “how” (technical solution)
• Master's Degree

Benefits:

• This job can be performed from anywhere in the US.
• Your long-term career development is valued and supported.