Part-time consulting opportunity with the possibility of FTE

About

We are partnering with a global digital transformation team supporting next‑generation AI initiatives for a major enterprise technology program. This role will work directly alongside a senior AI architect helping validate model accuracy, support training workflows, and contribute to the development and refinement of production‑bound machine learning solutions.

This is an excellent opportunity for an early‑career AI/ML engineer to gain hands‑on experience with real‑world model evaluation, LLM development workflows, and enterprise‑scale applied AI systems.

Why join us?

• Part‑time contract (~20 hours per week)
• Fully remote
• Flexible scheduling
• Opportunity to contribute to high‑visibility enterprise AI development initiatives

Responsibilities

• Support evaluation and validation of machine learning and LLM outputs for accuracy, consistency, and reliability
• Assist with training dataset preparation, labeling, and refinement
• Contribute to prompt engineering experimentation and response testing
• Help monitor model performance and recommend improvements
• Collaborate with senior engineers on iterative model tuning and deployment readiness
• Document workflows, testing results, and evaluation methodologies
• Participate in ongoing experimentation supporting production AI solutions

Required Qualifications

• 1–3 years of experience in Machine Learning, AI engineering, or applied data science
• Hands‑on experience with Python for ML workflows
• Familiarity with LLM ecosystems (OpenAI, Gemini, Claude, or similar)
• Experience working with structured and unstructured datasets
• Exposure to model validation, testing pipelines, or evaluation frameworks
• Strong attention to detail and analytical problem‑solving skills
• Ability to work independently in a distributed engineering environment

Preferred Qualifications

• Experience supporting prompt engineering or RAG‑style workflows
• Exposure to model fine‑tuning or dataset optimization techniques
• Familiarity with evaluation tooling for LLM accuracy and hallucination detection
• Experience working alongside senior architects or research teams
• Background supporting enterprise AI initiatives or production‑bound experimentation