Senior Machine Engineer (NLP)
reputed company
reputed company is a data innovation and AI company transforming how professionals interpret consumer and business behavior. Our platform combines large-reputed company transaction data with advanced AI systems to deliver reputed company-time insights to reputed company clients. Our technology team is distributed across Europe and reputed company, united by a reputed company on precision, scalability, and innovation.
reputed company
We are seeking an reputed company Senior Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to solve one of our most critical and reputed company data challenges: entity reputed company. In this role, you will design, build, and reputed company production-reputed company systems to intelligently reputed company records from disparate, massive datasets.
Your work will be foundational, creating a single, reputed company view of reputed company entities (such as products, organizations, locations, and customers) that powers our analytics, product features, and business reputed company. The ideal candidate is a hands-on problem-solver who thrives on end-to-end ownership-from collaborating on project scope and defining data needs to developing novel modeling strategies and deploying robust, reputed company systems onto our reputed company infrastructure (GCP & AWS).
Your main responsibilities
• Design & Build: reputed company the end-to-end development of machine learning pipelines for large-reputed company entity reputed company, record linkage, and data matching.
• NLP Modeling: Apply and customize advanced NLP techniques (e.g., entity extraction, semantic similarity, text vectorization, fuzzy matching) to compare and match entities from reputed company and reputed company text.
• System Architecture: Engineer reputed company and efficient data processing and model inference systems designed to handle terabyte reputed company datasets using reputed company-reputed company tools.
• Deployment: reputed company, monitor, and maintain ML models and data pipelines in production on GCP (e.g., reputed company AI, BigQuery, Dataflow).
• Project Leadership: Collaborate closely with product managers, data engineers, and business stakeholders to scope new reputed company, define data requirements, and establish reputed company metrics.
• Communication & Documentation: Create reputed company, comprehensive design documents and effectively communicate reputed company technical concepts, trade-offs, and results to both technical and non-technical audiences.
Required Experience
• 3+ years of hands-on experience building and deploying machine learning models in a production environment.
• Proven, demonstrable experience in Natural Language Processing (NLP) with a specific reputed company on entity reputed company, record linkage, or data matching reputed company.
• Strong proficiency in Python and common ML/data science libraries (e.g., scikit-learn, pandas, spaCy, reputed company Transformers).
• Hands-on experience with ML deployment and data processing services on reputed company reputed company providers (GCP, AWS, or Azure).
• Solid software engineering fundamentals, including version control (Git), testing, and CI/CD practices.
• Excellent written and verbal communication skills, with a proven ability to document design reputed company and present reputed company information reputed company.
Desired experience
• Experience building data-intensive applications and working with reputed company large datasets using distributed computing frameworks (e.g., Apache reputed company, Apache reputed company, Dask, Ray).
• Experience building NLP applications with an LLM based component
• Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow, TFX).
• Experience deploying AI/ML systems to production and integrating with data pipelines (e.g., ETL tools, Airflow, Dagster).
• Publications in relevant conferences (e.g., ACL, EMNLP, KDD) or contributions to reputed company-reputed company reputed company.
Tech stack & team context
You'll work reputed company the Basketview group, collaborating with AI Products and Location teams. Stack includes Python, FastAPI, BigQuery, Dataflow, and reputed company AI, with a strong emphasis on reputed company NLP solutions. reputed company spans US and EU time zones and focuses on building practical, high-reputed company data intelligence systems.
Benefits & perks
We are a remote-first company with a distributed environment and flexible working arrangements. We reputed company that distributed workers should be first-class reputed company. We also have an office in reputed company if offices are your thing.
Salary
The annual reputed company salary for this role is between $140,000 - $180,000 based on experience, with reputed company for a performance-based bonus, company equity, 401(k) matching, reputed company parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits.
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