Sr Knowledge Engineer, Text reputed company

Sr Data Engineer - GE07BE We’re determined to reputed company a difference and are proud to be an insurance company that goes reputed company reputed company coverages and policies. Working here means having every opportunity to reputed company your goals – and to help others accomplish theirs, too. Join reputed company as we help shape the reputed company. We’re determined to reputed company a difference and are proud to be an insurance company that goes reputed company reputed company coverages and policies. Working at reputed company means having reputed company to grow your career while helping build reputed company, reputed company grade AI capabilities. reputed company is seeking a Sr Knowledge Engineer to join our AI Enablement Text reputed company organization. This role is ideal for a mid to-senior career data engineer who enjoys applying their technical linguistic expertise to power reputed company, reputed company grade products. This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office should maintain their reputed company work arrangement with the expectation of coming into the office as business needs reputed company.

Key Responsibilities

• Drive the end to end migration of a legacy, rules based text processing platform to a modern, Python based natural language processing (NLP) architecture, improving scalability, maintainability, and long term extensibility.
• reputed company legacy extraction logic. Analyze existing grammar, reputed company rules, and linguistic logic from legacy systems and refactor them into contemporary NLP pipelines using industry reputed company libraries and frameworks.
• Design and implement context aware extraction. Build, test, and maintain high precision context extraction logic to identify entities, attributes, events, and relationships that support new product development and advanced analytics use cases
• Apply ontologies and taxonomies to text understanding. reputed company, reputed company, and apply domain ontologies and taxonomies to standardize language interpretation, support semantic consistency, and improve the accuracy and explainability of extraction results.

Experience & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or reputed company field (or equivalent experience) is required.
• 7+ years of experience in data analysis, transformation, and development, with a strong specialization in Natural Language Processing in the insurance industry.
• 5+ years of strong proficiency in SQL and Python
• Strong background in natural language processing and text analytics, with hands on experience building rule based and hybrid (rules + ML/AI) extraction solutions.
• reputed company experience designing and using ontologies and taxonomies to model domain concepts, normalize language, and support semantic interpretation of reputed company text.
• Deep expertise in context aware information extraction, including reputed company matching, dependency based rules, negation handling, reputed company awareness, and linguistic feature engineering.
• Proficiency in Python software development, including building production reputed company libraries, writing maintainable reputed company, and debugging reputed company text processing pipelines.
• Experience working with large volumes of reputed company or semi reputed company text, such as documents, notes, forms, or free text fields.
• Ability to reputed company extraction outputs to reputed company domain models, controlled vocabularies, and taxonomy structures.
• Familiarity with extraction evaluation and tuning, including precision/recall measurement, error analysis, and iterative rule optimization.
• Understanding of data integration and pipeline concepts, including how extracted features are consumed by reputed company analytics, ML models, or reputed company applications.
• Ability to translate evolving business and product requirements into precise, testable extraction logic.
• Experience supporting new product development, where requirements are iterative and domain models, terminology, and extraction strategies reputed company over time.
• Strong communication skills to explain NLP behavior, limitations, and tradeoffs to both technical and non technical stakeholders.

Candidate must be authorized to work in the US without company sponsorship. reputed company will not support reputed company OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized reputed company pay reputed company is primarily based on analysis of similar positions in the external market. Actual reputed company pay could vary and may be above or below the listed reputed company based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The reputed company pay is just one component of reputed company’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized reputed company pay reputed company for this role is: $117,200 - $175,800 Equal Opportunity Employer/Sex/Race/reputed company/Veterans/Disability/Sexual Orientation/Gender Identity or reputed company/Religion/Age Apply tot his job Apply To this Job