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Medical Coding Using Ai Jobs in Delaware (NOW HIRING)

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175.60K/yr

Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and ... Write optimized code and provide innovative solutions to complex problems * Stay updated with ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175.60K/yr

Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and ... Write optimized code and provide innovative solutions to complex problems * Stay updated with ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE

$131K - $175.60K/yr

Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and ... Write optimized code and provide innovative solutions to complex problems * Stay updated with ...

GE Aerospace

Sr AI Data Engineer

Dover, DE · On-site

$159K/yr

Author infrastructure as code in CloudFormation (CDK welcome) and apply AWS best practices for IAM ... medical, dental, vision, and prescription drug coverage; access to a Health Coach from GE Aerospace ...

Dlapiper

AI Solutions Engineer

Wilmington, DE · Hybrid

... using tools to rapidly build pilots/demos and take to production. * Understanding of ML models ... Ability to prototype and deliver low-code solutions and iterate rapidly based on stakeholder ...

Hologic Inc.

Systems Engineer

Newark, DE · On-site

$78K - $122.10K/yr

In this role, you will contribute to the development of advanced medical imaging systems and ... using AI tools, such as generative AI or automated writing assistance, during any stage of the ...

Hologic

Senior Electrical Engineer, NPD

Newark, DE · On-site

$97.60K - $152.70K/yr

Experience in an FDA‑regulated medical device or similarly regulated industry is a plus ... using AI tools, such as generative AI or automated writing assistance, during any stage of the ...

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Medical Coding Using Ai information

What are the key skills and qualifications needed to thrive as a Medical Coding Using AI specialist, and why are they important?

To thrive as a Medical Coding Using AI specialist, you need a strong understanding of medical terminology, coding standards (like ICD-10 and CPT), and healthcare compliance, often supported by a certification such as CPC or CCS. Familiarity with AI-based coding platforms, electronic health records (EHR) systems, and healthcare data analytics tools is typically required. Analytical thinking, attention to detail, and adaptability are crucial soft skills for interpreting complex records and working with evolving technologies. These skills ensure accurate, efficient coding and compliance with regulations, enabling healthcare organizations to optimize billing and patient care.

How does working with AI tools change the daily workflow for medical coders?

Integrating AI tools into medical coding streamlines many routine tasks, such as extracting relevant information from clinical notes and suggesting appropriate codes. This allows medical coders to focus more on complex cases, code validation, and quality assurance. Collaboration with IT specialists and healthcare providers may increase as coders provide feedback on AI system performance and help refine its accuracy. Adapting to new technologies can be a challenge at first, but it often leads to improved productivity, fewer manual errors, and opportunities for professional development in health informatics.

What is medical coding using AI?

Medical coding using AI refers to the application of artificial intelligence technologies to automate the process of translating healthcare diagnoses, procedures, and services into standardized codes. AI-powered systems use natural language processing and machine learning to analyze clinical documentation and accurately assign the appropriate medical codes. This helps healthcare providers improve efficiency, reduce errors, and ensure proper billing and reimbursement. As AI continues to evolve, it is increasingly being integrated into healthcare revenue cycle management to streamline operations and support compliance.

What is the difference between Medical Coding Using Ai vs Medical Coding Specialist?

AspectMedical Coding Using AiMedical Coding Specialist
CredentialsNone required; relies on AI softwareCertification (e.g., CPC, CCS)
Work EnvironmentPrimarily digital, often remoteOffice or remote, depending on employer
Industry UsageUsed by healthcare providers and tech companiesEmployed by hospitals, clinics, insurance companies
Job FocusAI-driven coding automation and oversightManual coding, review, and compliance

Medical Coding Using Ai involves leveraging artificial intelligence to automate and assist coding tasks, reducing manual effort. In contrast, a Medical Coding Specialist manually reviews and assigns codes based on medical records, requiring certification and expertise. While AI enhances efficiency, specialists ensure accuracy and compliance. Both roles are vital in healthcare billing and coding workflows, often working together to optimize processes.

What are popular job titles related to Medical Coding Using Ai jobs in Delaware? For Medical Coding Using Ai jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Medical Coding Using Ai jobs in Delaware look for? The top searched job categories for Medical Coding Using Ai jobs in Delaware are:
What cities in Delaware are hiring for Medical Coding Using Ai jobs? Cities in Delaware with the most Medical Coding Using Ai job openings:
Medical Coding Using Ai jobs near you
Principal Engineer - AI Platform

Principal Engineer - AI Platform

Berkley

Wilmington, DE • On-site

$131K - $175.60K/yr

Other

Posted 20 days ago

Job description

Company Details
Company URL: https://www.berkleytechnologyservices.com/
Berkley Technology Services (BTS) is the dynamic technology solution for W. R. Berkley Corporation, a Fortune 500 Commercial Lines Insurance Company. With key locations in Urbandale, IA and Wilmington, DE, BTS provides innovative and customer-focused IT solutions to the majority of WRBC's 60+ operating units across the globe. BTS's wide reach ensures that ideas and opinions are considered at every level of the organization to guarantee we find the best solutions possible.
Driven by a commitment to collaboration, BTS acts as consultants to our customers and Operating Units by providing comprehensive solutions that not only address the challenge at hand, but proactively plan for the "What's Next" in our industry and beyond.
With a culture centered on innovation and entrepreneurial spirit, BTS stands as a community of technology leaders with eyes toward the future - leaders who truly care about growing not only their team members, but themselves, and take pride in their employees who shine. BTS offers endless ways to get involved and have the chance to grow your career into a wide range of roles you'd never known existed. Come join us as we push forward into the future of industry-leading technological solutions.
Berkley Technology Services: Right Team, Right Technology, Simple and Secure.
Responsibilities
The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust AI platforms that support advanced machine learning and artificial intelligence applications. This role works closely with data scientists, software engineers, and product managers to develop scalable solutions that enhance the efficiency, reliability, and performance of our AI systems.
  • Design and develop scalable AI platforms to support various machine learning and deep learning models.
  • Collaborate with data scientists to understand model requirements and optimize infrastructure accordingly.
  • Implement and maintain data pipelines, model deployment strategies, and monitoring systems.
  • Ensure high availability and reliability of AI services through effective troubleshooting and performance tuning.
  • Develop and maintain systems primarily using Python, R, or Java, focusing on building REST APIs and small/secure web front ends.
  • Design and implement database schemas and queries for relational, NoSQL and Graph databases
  • Integrate with third-party services, including Kafka, Entra ID,
  • Collaborate with the frontend team to integrate frontend and backend systems seamlessly
  • Ensure the scalability, reliability, and security of backend systems
  • Troubleshoot and debug issues as they arise
  • Write optimized code and provide innovative solutions to complex problems
  • Stay updated with industry trends and emerging technologies
  • Stay current with the latest advancements in AI and machine learning technologies and incorporate them into the platform.
  • Automate repetitive tasks and improve platform efficiency through scripting and configuration management tools.
  • Provide technical guidance and support to other teams regarding AI platform usage and best practices.
  • Document platform architecture, workflows, and procedures for future reference and scalability.

Qualifications
  • 10+ years progressive engineering experience developing/engineering solutions and leading multiple large-scale data-domain or cross-domain engineering initiatives.
  • Proven experience in building and maintaining AI or machine learning platforms.
  • Strong knowledge of programming languages such as Python, R, and/or Java.
  • Experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
  • Experience in optimizing code and Infrastructure for large data set manipulation
  • Excellent knowledge of MySQL, SQL Server, PostgreSQL, MongoDB, and/or CosmosDB
  • Excellent knowledge of modern Vector and Graph databases
  • Excellent knowledge of Redis cache or other similar solutions
  • Experience with version control systems like Git and GitLab and Agile development methodologies
  • Excellent understanding NLP, and AI/ML design and implementation concepts
  • Excellent understanding of REST APIs, API Gateways and SPAs
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication and collaboration skills.
  • Excellent knowledge of data storage solutions and database management systems.
  • Proficiency in object-relational mapping (ORM), advanced algorithms, data structures, object-oriented and functional design principles, and best-practice patterns.
  • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn
  • Multiple years working with structured and unstructured data within a cloud-based data environment (Redshift, Data Bricks, Hadoop, Snowflake, Spark, unmanaged Kafka, etc.).
  • Experience with Master Data Management (MDM) systems and processes.
  • Experience with Data Loss Prevention (DLP), encryption/redaction strategies, etc. for protecting PII/sensitive data.
  • Good understanding of Processor architecture and ability to work with providers to map use cases to appropriate platforms
  • Bachelors Degree in Computer Science, Information Technology, Information Systems, or a related discipline. Equivalent experience and/or alternative qualifications will be considered.
  • 10%-20% of Travel Required.
Preferred Qualifications
  • Advanced degree in computer science, data science, AI, or related field.
  • Experience with big data technologies (Hadoop, Spark).
  • Experience with reinforcement learning, generative AI, or autonomous systems.
  • Knowledge of MLOps practices and tools.
  • Knowledge of insurance-specific AI applications.
  • Hands-on experience working with AI/ML as a Data Scientist.
  • Experience in deploying machine learning models in production environments.
  • Understanding of distributed systems and microservices architecture.

The Company is an equal employment opportunity employer.

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