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Remote mid-level ML role with popular title and 3–6 year range increases applicant density.
Core ML/CV/NLP skills transfer across industries, though document-domain knowledge moderately matters.
Requires 3+ years plus specific ML/CV/NLP frameworks, deployment, and cloud experience.
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Design and develop machine learning systems and specialized models for Computer Vision and Natural Language Processing focused on document and content intelligence.
Transform data science prototypes into deployable deep learning models handling multi-layered data like image/document classification, information extraction, and semantic search.
Optimize and deploy high-performance ML models using cloud platforms; conduct tests and document ML processes and model architectures.
Minimum 3 years of relevant Machine Learning Engineering experience with a strong focus on Computer Vision and/or Natural Language Processing.
Advanced proficiency in Python and experience with ML frameworks/libraries such as PyTorch and Transformers.
Experience building and maintaining scalable RESTful APIs (e.g., FastAPI) and knowledge of cloud platforms like AWS for model deployment and MLOps.
Work Experience Required: 3+ years; Position is hybrid (not fully remote); Date opened 22/07/2026.
Experienced ML engineer focused on practical deployment of Computer Vision and NLP models for document-intensive applications.
Strong software engineering skills applied to scalable API development and cloud-based model deployment.
Analytical problem-solver comfortable handling unstructured data and optimizing models for high performance in a production environment.