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Junior Ai Machine Learning Python Jobs in Dayton, OH

Riverside Research Institute

AI/ML Engineer

Dayton, OH · On-site

$90K - $110K/yr

Position Overview Riverside Research is seeking a Junior Artificial Intelligence / Machine Learning ... Support developing algorithms and associated software tools using C/C++/Python and associated ...

Chenega Corporation

Chief Data Officer

Dayton, OH

Apply machine learning and AI-powered data mining techniques to: * Identify statistical trends within existing datasets * Detect gaps in available data (data paucity) * Improve the effectiveness of ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

Apply machine learning and AI-powered data mining techniques to: * Identify statistical trends within existing datasets * Detect gaps in available data (data paucity) * Improve the effectiveness of ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH

Apply machine learning and AI-powered data mining techniques to: * Identify statistical trends within existing datasets * Detect gaps in available data (data paucity) * Improve the effectiveness of ...

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

Apply machine learning and AI-powered data mining techniques to: * Identify statistical trends within existing datasets * Detect gaps in available data (data paucity) * Improve the effectiveness of ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Advanced Python proficiency. * 4+ years of professional hands-on experience leveraging large sets ...

Elevance Health

Gen AI Engineer

Mason, OH · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning ... Advanced Python proficiency. * 4+ years of professional hands-on experience leveraging large sets ...

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Junior Ai Machine Learning Python information

See Dayton, OH salary details

$45.2K

$91.9K

$138K

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

As of Aug 2, 2026, the average yearly pay for junior ai machine learning python in Dayton, OH is $91,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $92,800.00 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 Dayton, OH look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Dayton, OH are:
What cities near Dayton, OH are hiring for Junior Ai Machine Learning Python jobs? Cities near Dayton, OH with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

Machine Learning Engineer

Radiance Technologies

Beavercreek, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago

Job description

Radiance is seeking a Machine Learning Engineer who will advance the artificial intelligence capabilities of the National Air and Space Intelligence Center at Wright Patterson Air Force Base. This engineer will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and develop machine learning, data mining and statistical algorithms for pattern recognition and anomaly detection. Additionally, this position will improve upon current methods for the automated processing and exploitation of large data sets. This will include R&D on projects involving the exploitation of data from sensors including investigation of state-of-the-art machine learning classification methods to detect, track, and characterize targets of interest.
Radiance Technologies is an employee-owned company with benefits that are unmatched by most companies in the Dayton OH area. Employee ownership, generous 401K, full health/dental/life/vision insurance benefits, interesting assignments, educational reimbursement, competitive salaries and a pleasant work environment combine to make Radiance Technologies a great place to work and succeed.
Required Experience:
  • A working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensional Reduction, Neural Networks & Deep Learning, Feature Engineering

Required Skills & Qualifications:
  • Bachelor's Degree in a quantitative field such as Physics, Engineering, Computer Science, Statistics, or a related field
  • Strong programming skills in at least one of the following languages Python, Matlab, C++
  • Experience with Machine Learning APIs, such as TensorFlow, PyTorch, or Keras
  • Active Secret Clearance with ability to obtain and maintain a TS/SCI

Desired Skills:
  • ML for either natural language processing, computer vision, reinforcement learning, generative modeling, or equivalent experience
  • PhD in data science, mathematics, statistics, computer science, a physical science or engineering is strongly desired
  • A mathematical background (Probability and Statistics)
  • An experienced grasp of version control using Git for nonlinear workflows
  • Thorough understanding of working in research, development and production environments
  • Background in image science, imagery exploitation, spatial analysis, and computer vision are a plus
  • R&D on remotely sensed data to include modeling and development of algorithms.
  • Ability to work independently or in a team environment
  • Strong technical writing and oral communication skills
  • Active Top Secret/SCI clearance

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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