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Medical Coding Artificial Intelligence information

What is Medical Coding Artificial Intelligence?

Medical Coding Artificial Intelligence refers to the use of AI technologies to automate and improve the medical coding process in healthcare. AI systems can analyze clinical documentation, extract relevant information, and assign appropriate codes for diagnoses and procedures. This technology helps healthcare providers increase accuracy, reduce manual errors, streamline billing, and ensure compliance with regulations. By leveraging AI, organizations can save time and resources while enhancing the quality of patient data management.

How do professionals in Medical Coding Artificial Intelligence typically collaborate with healthcare providers and IT teams?

Professionals working in Medical Coding Artificial Intelligence frequently interact with both healthcare providers and IT teams to develop and refine AI models that accurately interpret medical documentation. This collaboration involves understanding clinical workflows, ensuring data privacy compliance, and translating medical terminology into machine-readable formats. Regular meetings and cross-functional teamwork help align the AI solutions with real-world clinical needs and regulatory standards, making strong communication skills essential for success in this role.

What are the key skills and qualifications needed to thrive in Medical Coding Artificial Intelligence, and why are they important?

To excel in Medical Coding Artificial Intelligence, you need a strong background in medical coding, familiarity with healthcare terminology, and expertise in AI or machine learning, often supported by degrees in health informatics, computer science, or related certifications. Experience with coding systems like ICD-10, CPT, and proficiency in AI tools, programming languages (such as Python), and natural language processing platforms are typically required. Strong analytical thinking, attention to detail, and effective collaboration skills help professionals bridge the gap between clinical data and technical solutions. These competencies are crucial for developing, optimizing, and deploying AI systems that improve the accuracy and efficiency of medical coding in healthcare organizations.

What is the difference between Medical Coding Artificial Intelligence vs Medical Coding Specialist?

AspectMedical Coding Artificial IntelligenceMedical Coding Specialist
CredentialsNone required, relies on algorithmsCertification (e.g., CPC, CCS)
Work EnvironmentAutomated systems, software platformsHospitals, clinics, healthcare offices
Industry UsageAssists or automates coding tasksPerforms manual coding and audits
Search/Comparison IntentUnderstanding AI role in codingManual coding skills and certification

Medical Coding Artificial Intelligence primarily automates coding processes using algorithms, reducing manual effort. Medical Coding Specialists manually review and assign codes, often requiring certifications. AI enhances efficiency, while specialists ensure accuracy and compliance. Both play vital roles in healthcare documentation and billing.

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For Medical Coding Artificial Intelligence jobs in New York, the most frequently searched job titles are:

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The top searched job categories for Medical Coding Artificial Intelligence jobs in New York are:

What cities in New York are hiring for Medical Coding Artificial Intelligence jobs?

Cities in New York with the most Medical Coding Artificial Intelligence job openings:

Medical Coding Artificial Intelligence jobs near you

Senior MLOps Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Key responsibilities

  • Design and build tools to improve the efficiency of the Model Development Life Cycle (MDLC), automate ML processes, and enhance system performance

  • Architect, build, diagnose, and maintain production AI applications and systems

  • Collaborate with colleagues on production systems, write, test, and maintain production quality code

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 247 rated software companies

Job description

Senior MLOps Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049628
Description & Requirements
Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.
At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior MLOps Engineers with strong expertise and passion for building and maintaining AI systems to join our team.
As a Senior MLOps Engineer you will design and build tools to improve the efficiency of our Model Development Life Cycle (MDLC), automate ML processes, enhance the performance of our systems and more.
Join the AI Group as a Senior MLOps Engineer and you will have the opportunity to:
  • Architect, build, and diagnose production AI applications and systems
  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
  • Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

We are looking for a Senior MLOps engineer with:
  • 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms
  • An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
  • Industry experience with machine learning teams
  • Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc.
  • Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc.
  • Experience with cloud providers such as AWS, GCP or Azure
  • A track record of collaboration with colleagues to achieve repeatable high quality outcomes

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 160,000 - 240,000 USD Annual + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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