ZipRecruiter

Log In

1

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 ...

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 ...

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

... ML, NLP, and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

... ML, NLP, and computer vision solutions. * Demonstrated 4+ years hands-on experience with Python ... AI (GAI) * Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model ...

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 ...

Athenago

AI Engineering Intern

Wilmington, DE

Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch ... Interest in AI agentic systems, including areas such as prompt design, tool use, workflow ...

Athena LLC

Strong programming abilities in Python (and familiarity with ML libraries like TensorFlow, PyTorch ... Interest in AI agentic systems, including areas such as prompt design, tool use, workflow ...

next page

Showing results 1-20

All JobsPython Ai Ml JobsPython Ai Ml Jobs in Delaware

Python Ai Ml information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, machine learning, or data science, often involving advanced skills in programming, deep learning, and data analysis. Such roles are usually found in senior or executive levels, require extensive experience, and may include responsibilities like leading AI projects or developing innovative solutions.

Is Python good for AI ML?

Python is widely regarded as an excellent programming language for AI and machine learning roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is commonly used by AI/ML professionals for developing models, data analysis, and automation tasks, making it a valuable skill for such jobs.

Which 3 jobs will survive AI?

For a Python AI ML professional, roles such as data scientist, machine learning engineer, and AI researcher are likely to persist due to their reliance on complex problem-solving, domain expertise, and ongoing innovation. These jobs require advanced analytical skills, programming proficiency, and understanding of AI frameworks, making them less susceptible to automation. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in this field.

What are Python AI/ML engineers?

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.

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.

What is the salary of Python AI ML?

The salary for Python AI ML roles varies depending on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Entry-level positions may start lower, while experienced professionals with skills in machine learning, deep learning, and data analysis can earn higher salaries, especially in tech hubs or companies requiring advanced expertise.

How does a Python AI/ML professional 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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Applied AI/ML - Vice President

JPMorganChase

Wilmington, DE • On-site

Full-time

Posted 10 days ago

Job description

Job Summary:
JPMorgan Chase is one of the oldest financial institutions, providing innovative financial solutions to a diverse clientele. The Applied AI/ML Lead will drive machine learning and generative AI projects, working collaboratively with product managers and engineers to implement cutting-edge AI solutions that enhance the Home Lending sector.
Responsibilities:
• Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
• Design, develop, and deploy state-of-the-art AI/ML/GenAI solutions to meet business objectives.
• Architect and implement robust, cloud-native MLOps/LLMOps pipelines and distributed AI/ML infrastructure (AWS, Azure, GCP) for scalable, efficient deployment and monitoring of models in production.
• Direct the development and deployment of advanced generative AI solutions (LLMs, RAG, NLP, AI Agents) and classical ML models, integrating state-of-the-art techniques into the ML platform to create innovative fintech products.
• Develop advanced monitoring and management tools to ensure high reliability and scalability of AI/ML systems.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
• Communicate AI/ML capabilities and results to both technical and non-technical audiences.
• Build AI Agents and chatbot
• Stay informed about the latest trends and advancements in the latest AI/ML research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Qualifications:
Required:
• Bachelor’s degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.
• 5+ years of experience in Machine Learning and Artificial Intelligence engineering.
• Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
• Proficiency in programming languages like Python for model development, experimentation, and integration with OpenAI API.
• Extensive hands-on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, AWS Bedrock, Transformers, LangChain/LngGraph.
• Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), orchestration tools (Airflow, FastAPI, etc.) and architectural design, implementation, and performance optimization.
• Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, deep learning, reinforcement learning), and generative model architectures.
• Expert in Large Language models (OpenAI, Anthropic, Mistral, etc) including fine-tuning models, prompt engineering, embeddings and context window.
• Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
Preferred:
• Familiarity with the financial services industries.
• Expertise in designing and implementing pipelines using Retrieval-Augmented Generation (RAG).
• Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
• Familiarity with ethical AI, including bias mitigation, explainability and escalation protocols for risky outputs.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

Apply