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Junior Machine Learning Jobs in Delaware (NOW HIRING)

Judge Group, Inc.

Data Engineer Junior

Wilmington, DE · On-site

$50 - $60/hr

Role: Junior Data Engineer Location: Wilmington, DE (Hybrid - 3 days onsite) Duration: 6+ month ... Exposure to machine learning or Large Language Models (LLMs) and related use cases. Basic ...

JPMorgan Chase & Co

Trade Support - Associate II

Newark, DE · On-site

$16.75 - $21.75/hr

... junior team members, fostering a collaborative and growth-oriented environment. * Manage ad-hoc ... Skill in utilizing AI and machine learning to enhance trade service processes, driving improved ...

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Junior Machine Learning information

What is the difference between Junior Machine Learning vs Data Scientist?

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
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 Junior Machine Learning jobs in Delaware? For Junior Machine Learning jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Delaware look for? The top searched job categories for Junior Machine Learning jobs in Delaware are:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Delaware as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.
Data Engineer Junior

Data Engineer Junior

Judge Group, Inc.

Wilmington, DE • On-site

$50 - $60/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Location: Wilmington, DE Salary: $50.00 USD Hourly - $60.00 USD Hourly Description:
Role: Junior Data Engineer
Location: Wilmington, DE (Hybrid - 3 days onsite)
Duration: 6+ month contract (with potential extension)
Interview Process
Round 1: Virtual interview (Zoom)
Round 2: In-person interview (for local candidates)
Includes a coding/scripting assessment
About the Role
We are seeking a Junior Data Engineer to support the development and optimization of scalable data pipelines in a cloud-based environment. The role focuses on hands-on ETL development, big data processing, and contributing to critical initiatives such as Databricks migration and fraud analytics.
Key Responsibilities
  • Design, build, and maintain scalable ETL and streaming data pipelines.
  • Develop data processing solutions using Spark (PySpark or Java).
  • Work with AWS cloud services (EMR, Lambda, S3, RDS) for data ingestion and processing.
  • Collaborate with cross-functional teams to support fraud analysis and generate actionable insights for strategy teams.
  • Contribute to Databricks migration initiatives and optimize existing workflows.
  • Perform hands-on data engineering tasks including scripting, debugging, and pipeline enhancements.

Minimum Qualifications (Must Have)
  • 3+ years of hands-on experience in data engineering or related field.
  • Strong experience with Spark (PySpark preferred) and ETL/streaming pipeline development.
  • Proficiency in Python (preferred) or Java.
  • Experience with AWS cloud services such as EMR, S3, Lambda, and RDS.
  • Hands-on experience with Databricks.
  • Solid understanding of data pipelines and distributed data processing.

Preferred Qualifications (Nice to Have)
  • Experience with Airflow for workflow orchestration.
  • Proficiency in UNIX/Linux and Shell scripting.
  • Experience using Terraform for infrastructure as code.
  • Exposure to machine learning or Large Language Models (LLMs) and related use cases.

Basic Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.
Formal training or certification in software engineering concepts.
What We're Looking For
Strong problem-solving skills and attention to detail
Hands-on experience with ETL and big data workflows
Ability to work in a fast-paced, collaborative environment
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This job and many more are available through The Judge Group. Please apply with us today!

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