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Data Curation Ai Machine Learning Jobs in Delaware

Develop and implement data science, machine learning and artificial intelligence solutions that ... Design and deploy AI-enabled tools, intelligent agents and automated workflows that improve ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Showing results 41-60

Data Curation Ai Machine Learning information

What are the key skills and qualifications needed to thrive as a data curation AI machine learning specialist?

To thrive as a Data Curation AI Machine Learning Specialist, you need strong data management skills, a background in computer science or data science, and experience with machine learning principles. Familiarity with programming languages like Python or R, data labeling tools, and database systems, as well as certifications in machine learning or data engineering, are typically required. Attention to detail, critical thinking, and effective communication stand out as essential soft skills for managing complex datasets and collaborating with cross-functional teams. These skills ensure high-quality, well-organized data that drives accurate machine learning models and reliable AI outcomes.

What is a data curation AI machine learning specialist?

A Data Curation AI/Machine Learning specialist is a professional who manages, organizes, and prepares large datasets to be used in artificial intelligence and machine learning projects. They ensure that data is accurate, relevant, and accessible, often cleaning and labeling data so it can be effectively used to train machine learning models. Their role bridges the gap between raw data sources and the teams building AI solutions, enabling more reliable and efficient model development. They may also work with data governance, privacy, and compliance issues to ensure data quality and security.

What are some common challenges faced by data curation professionals working in AI and machine learning projects?

One of the key challenges data curation specialists encounter in AI and machine learning is ensuring the quality and consistency of large, diverse datasets. This often involves dealing with missing, incomplete, or biased data, which can impact model performance. Additionally, data curators must navigate evolving data privacy regulations and work closely with data scientists, engineers, and domain experts to align data preparation with project goals. Effective communication and a meticulous approach are crucial for maintaining data integrity and supporting robust machine learning outcomes.

What is the difference between Data Curation Ai Machine Learning vs Data Analyst?

AspectData Curation Ai Machine LearningData Analyst
Primary FocusPreparing and managing data for AI and ML modelsAnalyzing data to generate business insights
Skills RequiredData management, programming, understanding of AI/ML algorithmsStatistical analysis, data visualization, Excel, SQL
Tools UsedPython, R, SQL, data cleaning toolsExcel, Tableau, SQL, statistical software
Work EnvironmentData science teams, AI/ML projects, tech companiesBusiness departments, analytics teams, consulting firms

While Data Curation Ai Machine Learning specialists focus on preparing data for AI and machine learning models, Data Analysts interpret data to support business decisions. Both roles require strong data skills but differ in their primary objectives and tools used.

What are popular job titles related to Data Curation Ai Machine Learning jobs in Delaware? For Data Curation Ai Machine Learning jobs in Delaware, the most frequently searched job titles are:
What cities in Delaware are hiring for Data Curation Ai Machine Learning jobs? Cities in Delaware with the most Data Curation Ai Machine Learning job openings:

Senior AI & Automation Specialist (Hybrid)

Bancorp Bank, The

Wilmington, DE โ€ข Hybrid

$100K - $132K/yr

Full-time

Re-posted 11 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
  • Leads the design and architecture of enterprise AI solutions, integrating machine learning, NLP, and cognitive services into automation platforms.
  • Defines scalable frameworks and standards for AI-enabled automation, ensuring alignment with enterprise architecture and governance requirements.
  • Evaluates, selects, and implements AI technologies, tools, and vendors in accordance with risk appetite, regulatory expectations, and enterprise standards.
  • Drives end-to-end delivery of intelligent automation use cases, including alert triage, document intelligence, predictive exception handling, and decision support.
  • Partners cross-functionally with Technology, Data Science, Operations, Risk, and Compliance to operationalize AI solutions in production environments.
  • Establishes best practices for AI model integration, orchestration with RPA platforms (e.g., UiPath), and cloud-based AI services.
  • Ensures all AI solutions meet model risk management, data governance, and regulatory compliance requirements.
  • Provides technical leadership and mentorship to automation team members, elevating AI literacy and solution design capabilities.
  • Translates business needs into scalable AI-enabled solutions with measurable operational and financial outcomes.
  • Supports automation pipeline governance through solution evaluation, feasibility assessment, and prioritization activities.
  • Drives continuous improvement of enterprise automation capabilities, introducing innovative AI applications aligned with strategic objectives.
  • 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.
  • Performs other duties as assigned.
  • 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:ย 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-PJ1

    #LI-Hybrid

    Employment Type: FULL_TIME