Machine Learning Engineer

Position: Machine Learning Engineer Location: Remote Duration: 12 month contract + extensions Pay: up to $110/hr. Job Description: Build and deploy production machine‑learning models that support a data annotation platform used for training and evaluating LLMs and multimodal models. This is a hands‑on role focused on model development, data pipelines, and deployment. Responsibilities: • Build and deploy ML models for data annotation workflows. • Develop models for user intent, relevance, and signal quality. • Own ML work end to end: data prep, experimentation, training, deployment. • Build and maintain data pipelines and ML CI/CD workflows. • Perform data preprocessing and exploratory analysis on large datasets. • Partner with engineers and data teams to deliver ML solutions into production. • Improve existing models and experiment with new approaches. Requirements: • BS in Computer Science or equivalent experience. • Proven experience delivering production ML systems. • Strong Python and experience with PyTorch, TensorFlow, or scikit‑learn. • Experience with NumPy, pandas, and large‑scale data analysis. • Solid understanding of ML algorithms, statistics, and data structures. • Experience with Git and standard software development practices. • Experience running experiments, A/B tests, and evaluating models. Nice to Have: • Experience with data annotation platforms or synthetic data. • Production experience with deep learning systems at scale. • Experience with LLMs, NLP, or multimodal models.