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Junior Ai Machine Learning Python Jobs in Allentown, PA

Varsity Tutors

Machine Learning Tutor

Allentown, PA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Bespoke Labs

Machine Learning Engineer

Allentown, PA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Varsity Tutors

Python Tutor

Allentown, PA · Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

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All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Allentown, PA

Junior Ai Machine Learning Python information

See Allentown, PA salary details

$45.9K

$93.3K

$140.1K

How much do junior ai machine learning python jobs pay per year?

As of Aug 5, 2026, the average yearly pay for junior ai machine learning python in Allentown, PA is $93,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $94,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Junior Ai Machine Learning Python jobs in Allentown, PA look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Allentown, PA are:
What cities near Allentown, PA are hiring for Junior Ai Machine Learning Python jobs? Cities near Allentown, PA with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Allentown, PA as of June 2026, with employment types broken down into 71% Full Time, 20% Part Time, 3% Temporary, 3% Contract, and 3% Nights. Highlights an 75% Physical, 3% Hybrid, and 22% Remote job distribution, with an average salary of $93,297 per year, or $44.9 per hour.

AI / Machine Learning Engineering Lead

Everest Insurance

Warren, NJ • On-site

$180K - $220K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago

Job description

Title:
AI / Machine Learning Engineering Lead
Company:
Everest Reinsurance Company
Job Category:
Technology
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
About the Role:
We are looking for a talented AI Solution Engineer to join our innovative team. This role involves designing and implementing advanced AI models to solve complex business problems, particularly within the insurance sector. The ideal candidate will have a strong statistical background and be proficient in machine learning and data analysis.
This is a hybrid position based in Warren, NJ working 3 days onsite, 2 remote.
We are not considering fully remote candidates at this time.
Key Responsibilities:
  • Design and Develop AI Models: Create and implement AI models with a robust statistical foundation. Ensure models are scalable and can be integrated into existing systems.
  • Performance Evaluation: Develop and utilize metrics to evaluate the performance of AI models. Continuously monitor and refine models to maintain high performance and accuracy.
  • Data Analysis: Analyze large datasets to extract meaningful insights and patterns. Validate AI models against existing benchmarks and datasets.
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to align AI solutions with business objectives. Communicate findings and recommendations to non-technical team members.

Skills Needed:
  • Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with frameworks such as TensorFlow, PyTorch, or similar.
  • Statistical Analysis: Strong background in statistics and probability. Ability to apply statistical methods to real-world data.
  • Programming: Expertise in Python and/or R for data analysis and model development. Familiarity with SQL and other database technologies.
  • Data Analysis: Skilled in data preprocessing, cleaning, and transformation. Experience with data visualization tools to present findings effectively.
  • Insurance Domain Knowledge: Experience working with insurance datasets, including claims and underwriting data.
  • Understanding of industry-specific challenges and regulatory requirements.

Qualifications:
  • Education: A bachelor's degree in computer science, Statistics, Data Science, or a related field is required. A master's degree or relevant certifications (e.g., in machine learning or data science) are a plus.
  • Experience: 7-9 years of overall experience, including 3-5+ years in AI/ML development and deployment. Prior experience in the insurance industry is highly desirable.
  • Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work collaboratively in a team environment.
  • Adaptability: Ability to stay current with the latest AI trends and technologies and apply them to improve existing solutions.

The base salary range for this position is $180,000 - $220,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
#LI-KG1
#LI-Hybrid
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
Everest U.S. Privacy Notice | Everest (everestglobal.com)

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