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Machine Learning Assistant Jobs in Delaware (NOW HIRING)

Athena LLC

Responsibilities * Assist in developing and fine-tuning large language models (LLMs) to better ... Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ...

Athenago

AI Engineering Intern

Wilmington, DE

Responsibilities * Assist in developing and fine-tuning large language models (LLMs) to better ... Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ...

Athena LLC

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Strong foundation in statistics and machine learning concepts (regression, classification ...

Athenago

Data Science Intern

Wilmington, DE

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Strong foundation in statistics and machine learning concepts (regression, classification ...

ABC PEDIATRICS LLC

Medical Assistant

Dover, DE

$15 - $18/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

ABC PEDIATRICS LLC

Medical Assistant

Dover, DE

$15 - $18/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

ABC Pediatrics

Medical Assistant

Dover, DE

$14 - $18/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

ABC PEDIATRICS LLC

Medical Assistant

Dover, DE

$15 - $18/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

Delaware Medical Care PA

Medical Assistant

Smyrna, DE

$15.50 - $19.75/hr

You will also be helping manage the inventory of medical supplies, setting up machines and testing ... The ideal candidate has strong customer service skills, an interest in learning more about a ...

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Machine Learning Assistant information

What are the key skills and qualifications needed to thrive as a Machine Learning Assistant, and why are they important?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.
What are the most commonly searched types of Machine Learning jobs in Delaware? The most popular types of Machine Learning jobs in Delaware are:
What are popular job titles related to Machine Learning Assistant jobs in Delaware? For Machine Learning Assistant jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Delaware look for? The top searched job categories for Machine Learning Assistant jobs in Delaware are:
What cities in Delaware are hiring for Machine Learning Assistant jobs? Cities in Delaware with the most Machine Learning Assistant job openings:
Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Delaware as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.
Applied AI/ML - Vice President

Applied AI/ML - Vice President

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 16 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

Job Description
This is a unique opportunity to apply your skills and leadership in a dynamic environment, directly impacting the future of Home Lending through innovative AI/ML solutions. You will be at the forefront of technology, shaping the next generation of intelligent products and services at JPMorgan Chase.
As Applied AI ML Lead at Consumer & Community Banking Tech, you will drive ML and GenAI projects, leveraging expertise to deliver innovative solutions.
Job 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.

Required qualifications, capabilities, and skills
  • 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 qualifications, capabilities, and skills
  • 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.

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our Consumer & Community Banking Group depends on innovators like you to serve consumers, small businesses, municipalities and non-profits. You'll support the delivery of award winning tools and services that cover everything from personal and small business banking as well as lending, mortgages, credit cards, payments, auto finance and investment advice. This group is also focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.

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