ZipRecruiter

Log In

1

Senior Natural Language Processing Engineer Jobs in Delaware

Iff

Senior Automation Engineer

Wilmington, DE · On-site

$100K - $132K/yr

Design and support automation for flexible, experimental process systems, requiring frequent ... Familiarity with natural language query (NLQ) and AI-enabled analytics platforms. * Proficiency ...

Athenago

AI Engineering Intern

Wilmington, DE

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Knowledge of natural language processing techniques. Understanding how large language models work ...

Athena LLC

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Knowledge of natural language processing techniques. Understanding how large language models work ...

next page

Showing results 1-20

All JobsSenior Natural Language Processing Engineer JobsSenior Natural Language Processing Engineer Jobs in Delaware

Senior Natural Language Processing Engineer information

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by Senior Natural Language Processing Engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a Senior Natural Language Processing Engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a Senior Natural Language Processing Engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.
What job categories do people searching Senior Natural Language Processing Engineer jobs in Delaware look for? The top searched job categories for Senior Natural Language Processing Engineer jobs in Delaware are:
What cities in Delaware are hiring for Senior Natural Language Processing Engineer jobs? Cities in Delaware with the most Senior Natural Language Processing Engineer job openings:
Senior Natural Language Processing Engineer jobs near you

Senior AI & Automation Specialist (Hybrid)

Bancorp Bank, The

Wilmington, DE • On-site

$100K - $132K/yr

Full-time

Posted 6 days ago

Job description

Position Summary
Work Arrangement:
***This position is available as a hybrid position in our Wilmington, DE office.***
At The Bancorp, we've spent more than 25 years driving innovation in the financial services industry. As one of the first banks to embrace fintech, we combine technology, expertise and a forward-looking approach to deliver creative, real-world solutions. We work side by side with our partners to help them grow and innovate with confidence. Across Fintech Solutions, Institutional Banking, Commercial Lending and Real Estate Bridge Lending, we provide the people, processes, technology and banking capabilities that turn bold ideas into outcomes.
Join a team that brings urgency and rigor to every challenge and plays a direct role in driving growth for our clients and the communities we serve.
The Senior AI & Automation Specialist is responsible for leading the design, architecture, and delivery of enterprise AI-enabled automation solutions across The Bancorp Bank. This role integrates machine learning, natural language processing, and data-driven decisioning into enterprise workflows, enabling the evolution from task-based automation to intelligent, predictive, and decision-driven processes. This position serves as the senior technical and strategic authority for AI within the Automation program, ensuring solutions are scalable, compliant, and aligned with enterprise governance, model risk, and data management frameworks. The role operates across business, technology, and risk functions, requiring the ability to navigate evolving priorities, translate complex concepts, and drive enterprise adoption of AI capabilities within a regulated banking environment.
Key Responsibilities
  1. Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  2. Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  3. Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  4. Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  5. Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  6. Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
  7. Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
  8. Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  9. Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  10. Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  11. Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  12. Contributes to broader program activities including cross-functional coordination, governance support, analysis of processes and systems, and preparation of materials for decision-making forums, as needed.
  13. Performs other duties as assigned.
  14. No travel required.

Qualification Requirements
Education / Experience Requirements
  • Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience).
  • Combined experience in AI, machine learning, intelligent automation, or advanced analytics.
  • Demonstrated experience designing and deploying AI/ML solutions in enterprise or regulated environments.
  • Proven ability to lead complex, cross-functional technology initiatives.
  • Experience integrating AI capabilities into operational workflows and automation platforms.
  • Strong understanding of model risk, data governance, and regulatory considerations within financial services.

Preferred Qualifications
  • Advanced degree (Master's or PhD) in AI, Data Science, or related discipline.
  • Experience with NLP, document intelligence, and predictive modeling techniques.
  • Hands-on experience with platforms such as UiPath, Python, Azure AI/OpenAI, or similar ecosystems.
  • Familiarity with enterprise AI governance frameworks and model lifecycle management.
  • Strong understanding of cloud-based AI architecture and API-driven integrations.
  • Exceptional stakeholder engagement and ability to translate technical concepts into business value.
  • Experience building or scaling intelligent automation programs within financial services.
  • Experience operating within regulated or sponsor banking environments, including exposure to risk, compliance, and model governance expectations.
  • Demonstrated ability to operate effectively in evolving program structures and adapt to changing priorities.

Additional Information
This job will be open and accepting applications for a minimum of five days from the date it was posted.
Working at The Bancorp Bank, N.A. and Benefits Information: https://thebancorp.com/company/join-our-team/
Company Culture & Background Screening
Company Culture at The Bancorp Bank: https://www.thebancorp.com/company/company-culture/
The Bancorp Bank, N.A. is an EQUAL OPPORTUNITY EMPLOYER and will not discriminate on the basis of race, color, religion, gender, gender identity, sexual orientation, pregnancy, citizenship, national origin, age, disability, genetic information, veteran status or other protected category with respect to recruitment, hiring, training, promotion, and other terms and conditions of employment.
Employment with The Bancorp Bank, N.A. includes successfully passing a background check including credit, criminal, education, employment, OFAC, and social media background history.
#LI-CB1
#LI-Hybrid

Apply