Senior Machine Engineer (NLP)

3+ years of hands-on experience building and deploying machine learning models in a production environment. Demonstrable experience in Natural Language Processing (NLP) with a focus on entity resolution, record linkage, or data matching projects. Strong proficiency in Python and common ML/data science libraries (e.g., scikit-learn, pandas, spaCy, Hugging Face Transformers). Hands-on experience with ML deployment and data processing services on public cloud providers (GCP, AWS, or Azure). Solid software engineering fundamentals, including version control (Git), testing, and CI/CD practices. Excellent written and verbal communication skills.

Lead the end-to-end development of machine learning pipelines for large-scale entity resolution, record linkage, and data matching. Apply and customize advanced NLP techniques for entity comparison and matching. Engineer scalable data processing and model inference systems using cloud-native tools. Deploy, monitor, and maintain ML models and data pipelines in production on GCP. Collaborate with product managers, data engineers, and business stakeholders to scope projects and define requirements. Create design documents and communicate technical concepts to various audiences.