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Senior Python Ai Jobs in Kissimmee, FL (NOW HIRING)

The Senior QA SDET will ensure the quality and reliability of simulation software through system ... Python that replace or significantly reduce manual testing for QA owned areas. • Utilize AI ...

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Senior Python Ai information

See Kissimmee, FL salary details

$48.6K

$125.5K

$172.3K

How much do senior python ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior python ai in Kissimmee, FL is $125,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $144,500.00 per year, depending on experience, location, and employer.

What does a Senior Python AI engineer do?

A Senior Python AI Engineer is responsible for designing, developing, and deploying artificial intelligence solutions using the Python programming language. They work on building machine learning models, data pipelines, and integrating AI systems into applications. These professionals also lead teams, mentor junior engineers, and ensure the scalability and efficiency of AI projects. Their expertise is crucial for translating business needs into technical solutions that leverage the latest advancements in AI.

What are some common challenges faced by senior Python AI engineers when integrating AI models into production systems?

Senior Python AI engineers often encounter challenges such as ensuring the scalability and reliability of AI models in production environments. This includes managing dependencies, handling real-time data processing, and monitoring model performance to prevent issues like data drift. Collaboration with DevOps and data engineering teams is essential to streamline deployment pipelines and maintain system robustness. Additionally, keeping up with evolving AI frameworks and best practices is crucial for long-term project success.

What are the key skills and qualifications needed to thrive as a senior Python AI engineer, and why are they important?

To thrive as a Senior Python AI Engineer, you need deep expertise in Python programming, machine learning algorithms, and a strong foundation in mathematics and data science, often supported by a relevant degree. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP), and experience deploying AI models in production are typically required. Exceptional problem-solving, communication, and project leadership skills set outstanding candidates apart. These capabilities enable the development of robust, scalable AI solutions that drive business value and innovation.

What is the difference between Senior Python Ai vs Data Scientist?

AspectSenior Python AiData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related; experience with Python, AI frameworksBachelor's or higher in CS, Statistics, or related; proficiency in Python, R, SQL
Work EnvironmentAI development teams, R&D labs, tech companiesData analysis teams, research departments, consulting firms
Industry UsageTech, AI startups, research institutionsFinance, healthcare, marketing, tech
Common Search/ComparisonYesYes

While both roles require strong Python skills and familiarity with data analysis, Senior Python Ai focuses more on developing AI models and algorithms, whereas Data Scientists analyze data to generate insights. The Senior Python Ai role emphasizes AI frameworks and machine learning deployment, while Data Scientists often work with statistical analysis and data visualization.

What are popular job titles related to Senior Python Ai jobs in Kissimmee, FL?

For Senior Python Ai jobs in Kissimmee, FL, the most frequently searched job titles are:

What job categories do people searching Senior Python Ai jobs in Kissimmee, FL look for?

The top searched job categories for Senior Python Ai jobs in Kissimmee, FL are:

What cities near Kissimmee, FL are hiring for Senior Python Ai jobs?

Cities near Kissimmee, FL with the most Senior Python Ai job openings:

Senior Data Analyst - AI & Dermatology Claims Analytics

adcs

Maitland, FL

$80K - $101K/yr

Full-time

Posted 18 days ago


Job description

SENIOR DATA ANALYST – AI & DERMATOLOGY CLAIMS ANALYTICS

Comprehensive Position Description

Reporting Structure
  • Dual reporting relationship: Technical reporting to Chief Information Officer; Functional reporting to Vice President of FP&A.
  • Acts as liaison between IT, Finance, Revenue Cycle, Clinical Operations and Executive Leadership.
Position Summary
  • Lead analytics initiatives involving large dermatology claims, EMR, revenue cycle and operational datasets.
  • Leverage AI tools and advanced analytics to improve reimbursement, forecasting and operational performance.
Primary Responsibilities
  • Analyze millions of claims records across CPT, HCPCS, ICD-10, payer and provider dimensions.
  • Identify revenue leakage, denial trends, coding opportunities and reimbursement optimization opportunities.
  • Develop AI-assisted analytical workflows using Copilot, Azure AI and LLM technologies.
  • Build executive dashboards and KPI reporting.
  • Support budgeting, forecasting and strategic planning initiatives.
  • Partner with managed care on payer contract performance analytics.
Technical Requirements
  • Advanced SQL
  • Python
  • Power BI
  • Microsoft Fabric
  • Azure Data Services
  • Databricks or Snowflake
  • Healthcare data warehousing
  • Machine learning and predictive analytics
Healthcare Domain Expertise
  • Dermatology claims analytics
  • Revenue cycle management
  • Medical coding
  • Payer reimbursement methodologies
  • Provider productivity analytics
  • Value-based care and population health
AI Competencies
  • Prompt engineering
  • Generative AI assisted reporting
  • Predictive analytics
  • Anomaly detection
  • Natural language processing
  • Model validation and governance
Key Performance Indicators
  • Reimbursement improvement opportunities identified
  • Dashboard adoption
  • Forecast accuracy
  • Reduction in manual reporting effort
  • Denial trend visibility
  • Executive stakeholder satisfaction
Qualifications
  • Bachelor degree in quantitative discipline required.
  • Masters degree preferred.
  • 5+ years healthcare analytics experience preferred.
  • Experience with large healthcare claims datasets required.