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Ai Ml Python Developer Jobs in Middletown, DE (NOW HIRING)

ClifyX

GenAI Engineer

Wilmington, DE · On-site

Python • AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning • Frameworks: TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone ...

Varsity Tutors

Python Tutor

Chester, PA · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Ability to explain Pythonic programming conventions, decorators, and generators while preparing ...

JP Morgan Chase

Lead Software Engineer

Wilmington, DE · On-site

Builds and maintains reusable AI/ML platform infrastructure and shared services to support ... Strong DevOps/platform engineering practices: CI/CD, release automation, automated testing, and ...

Ampcus Inc

Sr. Software Engineer

Wilmington, DE · On-site

$118K - $156K/yr

We are seeking a highly skilled Software Engineer with expertise in Java, Python, and AWS to design ... specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics ...

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Showing results 21-40

All JobsAi Ml Python Developer JobsAi Ml Python Developer Jobs in Middletown, DE

Ai Ml Python Developer information

See Middletown, DE salary details

$12

$55

$81

How much do ai ml python developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for ai ml python developer in Middletown, DE is $55.25, according to ZipRecruiter salary data. Most workers in this role earn between $45.53 and $62.74 per hour, depending on experience, location, and employer.

What is the difference between Ai Ml Python Developer vs Data Scientist?

AspectAi Ml Python DeveloperData Scientist
Required SkillsPython, Machine Learning, AI frameworks, coding, deploymentPython, Statistics, Data Analysis, Machine Learning, Visualization
Work EnvironmentDevelopment, coding, model deployment in tech teamsData analysis, research, reporting in various industries
Common Industry UsageAI product development, automation, machine learning solutionsData analysis, business insights, predictive modeling

While both roles involve Python and machine learning, Ai Ml Python Developers focus on building and deploying AI models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ mainly in their primary focus: development versus analysis.

Infographic showing various Ai Ml Python Developer job openings in Middletown, DE as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $114,925 per year, or $55.3 per hour.

GenAI Engineer

Wilmington, DE • On-site

ClifyX
Recruiting and Staffing Services • 51 - 200 employees
Learn more about ClifyXexternal

Full-time

Re-posted 23 days ago

Job description

Job Summary:
ClifyX is a company focused on innovative technology solutions, and they are seeking a GenAI Engineer to design and develop AI and Machine Learning solutions specifically for banking applications. The role involves building and deploying models, ensuring compliance, and collaborating with various teams to enhance AI capabilities.
Responsibilities:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
Qualifications:
Required:
• Design and develop AI/ML and Generative AI solutions for banking use cases including fraud detection, risk modeling, and customer analytics.
• Build, fine-tune, and deploy ML models and LLMs for credit scoring, AML, and automation
• Implement RAG-based GenAI applications using internal banking data
• Develop scalable data pipelines for training, validation, and real-time inference
• Collaborate with risk, compliance, finance, and business teams for AI solutions
• Ensure regulatory compliance and AI governance standards
• Implement data security, privacy, and access control mechanisms
• Integrate AI models into production using APIs and microservices
• Apply prompt engineering and model optimization techniques
• Monitor model performance, drift detection, and continuous improvement
• Develop explainable AI (XAI) for transparent decision-making
• Optimize cost, latency, and scalability of AI systems
• Troubleshoot AI/ML system issues across data and deployment layers
• Write efficient Python code using AI frameworks
• Follow MLOps best practices (CI/CD, automated deployment)
• Ensure responsible AI practices (bias, fairness, ethics)
• Mentor teams and contribute to enterprise AI platforms.
• Languages: Python
• AI/ML & GenAI: Machine Learning, Deep Learning, LLMs, Prompt Engineering, Fine-tuning
• Frameworks: TensorFlow, PyTorch
• GenAI Tools: LangChain, LlamaIndex
• Vector DB: Pinecone, FAISS
• Cloud Technologies: AWS / Azure / GCP
• Data Pipelines: ETL/ELT, Real-time & Batch Processing
• Integration: APIs, Microservices
• Concepts: RAG Architecture, XAI, Model Optimization
• Methodologies: Agile/Scrum, MLOps (CI/CD, Model Versioning, Deployment)
• Compliance: Banking regulations (SR 11-7, GDPR), Model Risk Management
• Soft Skills: Strong communication, stakeholder management, and analytical thinking
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.
ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998

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