Support a leading automotive company’s AI and ML engineering capability within their TOP platform, focusing on model fine-tuning oversight, agentic orchestration architecture, and LLM evaluation.

• 2–5 years of experience in technical communication, translating complex technical concepts into clear documentation.


• 2–5 years of experience in effective communication across cross-functional teams.


• 2–5 years of hands-on experience with Google Cloud Platform services relevant to AI/ML and data workloads.


• 2–5 years of experience building and evaluating machine learning models using TensorFlow or TensorFlow Extended.


• 3–5 years of applied machine learning experience, including feature engineering and model deployment.


• 5 or more years of professional experience in machine learning engineering, AI systems development, or applied AI research.