Machine Learning Engineer

Everpure, in partnership with 1touch.io, is seeking a Machine Learning Engineer / Applied AI Engineer to design and deploy production-ready AI systems for data privacy and governance. The role focuses on NLP, entity extraction, document classification, and LLM-powered automation.

• Design and implement ML and deep learning models for discovery and classification use cases, including entity extraction and document classification.
• Integrate LLMs and ML models into products and automated workflows.
• Define model training strategies and collaborate on dataset requirements.
• Build and maintain end-to-end ML pipelines covering training, inference, evaluation, monitoring, and iterative model improvement.
• Optimize models and inference pipelines for production constraints including latency, cost, throughput, and infrastructure efficiency.
• Deploy, operate, monitor, and improve ML systems in production environments.
• Translate business challenges into ML system designs and technical trade-offs.
• Contribute to architectural decisions and the technical direction of applied AI solutions.

• Experience delivering machine learning models into production and improving them over time.
• Hands-on experience developing NLP and text-based machine learning systems, including LLM-assisted workflows.
• Proficiency in Python and machine learning frameworks such as PyTorch, Hugging Face Transformers, spaCy, or similar.
• Experience implementing ML pipelines to support model training, evaluation, monitoring, deployment, and continuous improvement.
• Ability to design clean, modular, and maintainable ML solutions in a collaborative environment.
• Experience collaborating with software engineers, product managers, and business stakeholders.
• Strong communication skills and the ability to explain machine learning concepts and system behavior clearly.