Machine Learning Engineer

Responsibilities:

Design machine learning and LLM engineering tasks (data pipelines, training and evaluation code, experiment design) with reference solutions. Evaluate AI-generated training, evaluation, and data-processing code for correctness and efficiency. Review experimental methodology, including data leakage, metric choice, baselines, and reproducibility. Write reference answers and rubrics for machine learning questions at professional depth. Compare model outputs and give structured written feedback. Document recurring errors in model reasoning about ML concepts. Follow project guidelines, take part in calibration and review sessions, and incorporate feedback to keep quality consistent.

Requirements:

Degree in computer science, statistics, or a related field, or equivalent experience. 3+ years of machine learning engineering or applied ML experience. Python with PyTorch or TensorFlow; solid grounding in model training, evaluation, and deployment. Experience building data pipelines and tracking experiments. Fluent written English. Reliable, detail-oriented, and able to work independently and meet deadlines in a remote setting.

Preferred Qualifications:

LLM fine-tuning or evaluation experience. Published work or strong competition results. Experience with distributed training or inference optimisation. Prior AI-training or annotation experience.

Location : Remote Remuneration: NGN  550,000