ML Engineer

Job Summary

A digital agreement and document workflow platform that helps businesses create, execute, sign, and manage legally compliant documents digitally.

Responsibilities

• Develop, train, evaluate, and improve machine learning models for business use cases.

• Build ML solutions for document understanding, classification, extraction, and workflow automation.

• Work with large and diverse datasets to develop robust ML pipelines.

• Perform data preprocessing, feature engineering, experimentation, and model evaluation.

• Integrate ML models into production applications and backend services.

• Develop and maintain data and ML pipelines for reliable model inference.

• Experiment with modern NLP, LLM, and generative AI techniques where relevant.

• Monitor model performance and improve accuracy, latency, and reliability.

• Collaborate with backend, product, and engineering teams to take ML solutions from experimentation to production.

  Requirements

• We are looking for a Machine Learning Engineer with 1-2 years of experience to build and productionize ML solutions across document, agreement, and workflow automation use cases.

• The role involves developing ML models and pipelines, working with unstructured data, and deploying reliable AI capabilities into production systems.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.