Sr. NLP Data Scientist/Machine Learning Engineer

Overview

Remote
Depends on Experience
Full Time
No Travel Required

Skills

NLP
Machine Learning
Large Language Models (LLM)
Python
PySpark
Text Classifications
Multilabel Classifications

Job Details

Role: Sr NLP Data Scientist/Machine Learning Engineer.
Location: 1775 Tysons Blvd, VA
Duration: FTE.

Job Description:
They will play a role as an expert consultant to federal agency partners, develop project plans and manage delivery activities, providing leadership and influencing adoption of technical AI/ML solutions.
Evaluate the integration of Artificial Intelligence (AI) solutions into next generation tools and processes to enhance technology solutions to support continuous improvements and reliability in Patent and Trademark systems.
Establish solutions to gain efficiencies using Artificial Intelligence for the following processes: image search, classification, retrieval of prior art, analysis of incoming applications, and information management.
Develop Artificial Intelligence and Machine Learning capabilities to drive improvements to agency operations including classifying, routing, and evaluating patent applications, as well as enhance enterprise-wide information technology platforms, automation, and data analytics.
Create solutions that will identify or reduce improper activities and fraudulent imagery, provide new capabilities to assist examiners and trademark attorneys to complete thorough searches and examination,
Improve the customer experience for applicants and the public and transform data into actionable business intelligence.
Capture specific AI/ML technology capabilities (e.g. strategies, roadmaps, playbooks) to document best practices across government
Analyze and explain AI/ML solutions while setting and maintaining high ethical standards
Collaborate with internal team and/or private industry partners to understand and bring to bear innovative AI/ML and digital technologies to transform business processes.

Qualifications:
Experience designing & implementing enterprise Artificial Intelligence (AI) and Machine Learning (ML) solutions across functions. This experience must include ALL of the following:
05+ years of proven leadership roles and skills related to Artificial Intelligence implementation with professional experience in applied implementation of Natural Language Processing (NLP), Expert Systems Evolutionary Computation & Deep Machine Learning/Neural Networks domain.

We need someone well versed in: Large Vector Databases and Large Vector Search Issues (100's of millions of records), Connecting Vector Databases to LLMs for Retrieval Augmented Generation Search (Preferably experience with Private/Local Retrieval systems with no chance of PPI or data leak). Milvus, Pinecone, OpenSearch experience is a plus. People demonstrating the ability to create ontology and taxonomies for complex Large scale multi-label text classification (250,000+ labels).

Proven experience in applications of AI in decision augmentation.
Proven public sector and/or corporate experience leadership with major deep learning initiatives that resulted in measurable improvements with a sound Al strategy aligned with an overall (digital) business strategy.
Ability to transform complex business requirements into elegant technology solutions capable of integration with tools including proficiency in leveraging business processes into solution design and operationalization.
Technically oriented and personally proactive with extreme attention to detail.
Ability to work effectively on independent projects as well as collaborate across multiple business units within team environments, including superior communication skills to effectively engage diverse groups of stakeholders.
Experience developing AI policy.
Ability to lead in a fast-paced and dynamic environment.

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