ML/AI Engineer – Consultant

About the role

IBM Consulting offers long‑term client relationships and global collaboration. You’ll work with leading companies across industries, helping them shape hybrid cloud and AI journeys using IBM technology, Red Hat, and strategic partners. The culture emphasizes curiosity, growth, empathy, and long‑term career development while valuing unique skills and experiences.

Responsibilities

• Build reliable, well‑engineered software that applies machine learning and modern AI techniques to real business problems.
• Implement ML/AI components—models, features, and application logic—according to clear specifications, selecting appropriate methods from established approaches.
• Write clean, readable, tested code; use version control, conduct code reviews, and follow team standards.
• Verify work against acceptance criteria before marking it done.
• Measure model/solution performance with appropriate metrics and confirm output correctness.
• Accelerate development using LLM/agentic tools (e.g., Claude, Copilot) while reviewing and validating AI‑generated content.
• Communicate results and progress clearly; flag blockers and slippage early.
• Translate business requirements into technical solutions and evaluate against business metrics.

Education

Preferred: Master’s degree.

Requirements

• Applied ML/AI foundations: working knowledge of core ML concepts and common frameworks such as scikit‑learn, PyTorch, or TensorFlow; ability to apply them to defined problems.
• Data fluency: ability to work with data, interpret results, and identify relevant features.
• Detail‑oriented execution: proven track record of delivering assigned work reliably and accurately.
• Data analysis skills: ability to interpret statistical data and identify relevant features for solution development.
• Experience with modern AI tooling: exposure to LLM/agentic developer tools, prompt basics, and use of Claude, Copilot, or similar for acceleration.
• Solid software engineering: proficiency in Python (or similar), comfortable with version control, testing, and code review; focus on correctness and maintainable code.
• Communication and business awareness: ability to explain technical work clearly to teammates and non‑experts and connect business needs to technical solutions.
• Location: This role can be performed from anywhere in the United States.