Machine Learning Engineer
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Job summary
We are looking for machine learning engineers to help train and evaluate AI models on machine learning and LLM engineering tasks. You will design tasks, review AI-generated ML code and methodology, and write the reference answers that models are measured against.
Min Qualification:
Degree
Experience Level:
Mid level
Experience Length:
3 years
Language Requirement:
English
Working Hours:
Contract - Flexible Hours
Applicant Location:
Remote (Work From Home), Nigeria
Job descriptions & requirements
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
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