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Python Ai Ml Jobs in Delaware (NOW HIRING)

ApTask

AI-ML Tech Lead

Wilmington, DE · On-site

$42K - $55K/yr

They are seeking an AI-ML Tech Lead to own the end-to-end architecture for AI-agent systems and ... Python, TypeScript, or Java. • Experience with cloud-native architectures (AWS/Azure/GCP ...

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects ... Proficiency in programming languages like Python for model development, experimentation, and ...

DijavAI

AI Application Engineer

Dover, DE · On-site

$120 - $180/hr

Build and deploy AI applications that solve real-world business problems. Work across the full ... Proficiency in Python and ML frameworks * Experience with cloud platforms * Understanding of MLOps ...

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 ...

JPMorgan Chase & Co.

Lead Software Engineer

Wilmington, DE · On-site

$156K - $215K/yr

Proficiency in Go or Python for automation, tooling development, or platform service implementation. * Experience with MLOps frameworks and tools such as Kubeflow, MLflow, or similar AI/ML lifecycle ...

Morson Talent

AI Adoption Specialist

Wilmington, DE · On-site +1

$35 - $45/hr

Desired Qualifications Basic understanding of AI/ML concepts, including large language models and prompt engineering. Foundational ability to read and write Python for prototypes, automation, or ...

DijavAI

Machine Learning Auditor

Dover, DE · On-site

$120 - $180/hr

Automate parts of the technical audit process using Python scripts. What We're Looking For * PhD or strong Master's in Computer Science or AI/ML. * Experience with PyTorch, TensorFlow, and MLops ...

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Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What are popular job titles related to Python Ai Ml jobs in Delaware?

For Python Ai Ml jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Python Ai Ml jobs in Delaware look for?

The top searched job categories for Python Ai Ml jobs in Delaware are:

What cities in Delaware are hiring for Python Ai Ml jobs?

Cities in Delaware with the most Python Ai Ml job openings:

Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Delaware as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

Python Developer

Alltech Consulting Services, Inc.

Wilmington, DE • On-site

$48.75 - $67.25/hr

Other

Posted 2 days ago

New

Job description

Python Developer

Wilmington DE

  • Software engineering: Proficiency in Python (preferred) or Java, with solid fundamentals (clean coding, testing, APIs, debugging, performance, and maintainability).
  • Cloud engineering: Working knowledge of at least one public cloud provider AWS preferred including hands-on familiarity with deploying/running services, IAM/security basics, logging/monitoring, and common managed services.
  • AI/ML exposure: Practical exposure to AI/ML concepts and workflows (e.g., model integration patterns, basic ML lifecycle understanding, evaluation basics), sufficient to ramp into agent development with minimal hand-holding.

Preferred experience (strong differentiators):

  • Hands-on experience integrating with frontier model APIs (e.g., OpenAI or similar), including prompt design, tool/function calling, streaming, and reliability/cost considerations.
  • Familiarity with advanced agent architecture concepts such as memory, guardrails/assurance, and MCP (Model Context Protocol) or similar patterns for tool interoperability.
  • Experience with conversational/agent frameworks or platforms, such as LangGraph, CrewAI, Rasa, Decagon, or equivalent orchestration frameworks, including building multi-step workflows and tool-based agents

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