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Junior Ai Machine Learning Python Jobs in Ohio (NOW HIRING)

The Hartford

AI Machine Learning Engineer

Columbus, OH · Hybrid

$100K - $151K/yr

The Hartford is seeking AI Machine Learning Engineer to build Machine Learning Operations (MLOps ... Python Exposure to with workflow automation platforms (Apache Airflow, Autosys, similar) Basic ...

Aivra Health LLC

$28 - $45/hr

Python * R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy

Aivra Health LLC

$28 - $45/hr

Python * R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy

Aivra Health LLC

$28 - $45/hr

Python * R (preferred) * Java (basic knowledge) * SQL Machine Learning & AI Frameworks * Scikit-learn * TensorFlow * Keras * PyTorch * XGBoost * LightGBM Data Processing & Big Data * Pandas * NumPy

Mimecast

Machine Learning Engineer II

Columbus, OH

$94K - $128K/yr

AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning ... Mentor and guide junior team members, establish and champion best practices, and foster a culture ...

Mimecast

Machine Learning Engineer II

Columbus, OH · On-site

$94K - $128K/yr

AI-First Engineering at Mimecast Mimecast is an AI-first engineering organization. Machine Learning ... Mentor and guide junior team members, establish and champion best practices, and foster a culture ...

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Junior Ai Machine Learning Python information

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 are popular job titles related to Junior Ai Machine Learning Python jobs in Ohio? For Junior Ai Machine Learning Python jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Ohio look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Ohio are:
What cities in Ohio are hiring for Junior Ai Machine Learning Python jobs? Cities in Ohio with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

AI & Automation Junior Analyst

United Wheels

Miamisburg, OH • On-site

Full-time

Posted 7 days ago

Job description

Job Title: Jr. AI & Automation Analyst
Department: IT
Supervisor: AI & Data Solutions Manager
FLSA Status: Exempt
Location: Miamisburg, Ohio
Summary
The Jr. AI & Automation Analyst supports the design, development, and maintenance of AI- and automation-driven solutions that improve operational efficiency, data quality, and decision-making across the organization. This role works cross-functionally to analyze business processes, identify automation opportunities, build and test solutions (such as RPA bots, low-code workflows, and AI agents), and monitor workflow performance. The Jr. AI & Automation Analyst collaborates closely with business stakeholders, IT, and data teams to ensure solutions are aligned with business requirements, secure, and scalable.
What Success Looks Like (3 Core Outcomes):
  • Develop process automation and AI-enabled workflows that demonstrably improve employee efficiency.
  • Facilitate continuous improvement through process mining and data driven decision-making.
  • Overcome technical and procedural obstacles through creativity, collaboration, and critical thinking.

Essential Duties and Responsibilities
  • Assist in identifying and documenting business processes that are suitable for automation or AI augmentation through stakeholder interviews, process mapping, and data analysis.
  • Support the design, configuration, and testing of automation workflows using tools such as RPA platforms (e.g., UiPath, Power Automate, Automation Anywhere) and low-code/no-code tools.
  • Help develop and maintain AI-enabled features (e.g., classification, routing, NLP, database semantic layer) under the supervision of senior team members.
  • Participate in requirements gathering sessions and translate business needs into functional and technical specifications for AI and automation solutions.
  • Build and maintain process documentation, including process maps, solution design documents, test cases, and user guides.
  • Execute unit, integration, and user acceptance testing (UAT) for new or updated automations, AI prompts and outputs; log defects and assist in troubleshooting and resolution.
  • Monitor the performance of deployed automations and AI models, track key metrics (e.g., throughput, error rates, exceptions), and escalate issues as needed.
  • Assist in maintaining automation queues, exception handling procedures, and schedules to ensure stable operations.
  • Support change management activities, including training end users, preparing communication materials, and providing post-deployment support.
  • Collaborate with IT and security teams to ensure solutions comply with data privacy, security, and governance standards.
  • Stay current with emerging AI, automation, and analytics tools and best practices; share insights and recommendations with the team.
  • Perform other related duties as assigned to support the team's function and broader business objectives.

Education
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Business Analytics, or a related field; or equivalent combination of education and relevant experience.
  • Coursework or certifications in AI, machine learning, data analytics, or process automation preferred (e.g., RPA vendor certifications, Microsoft Power Platform, introductory ML/AI courses).

Skills and Experience
  • 0-2 years of experience in a data, business analysis, automation, or related technical role (internships, co-ops, or academic projects acceptable).
  • Basic understanding of AI and automation concepts, such as RPA, machine learning, natural language processing, RAG, and workflow automation.
  • Experience with AI platforms (e.g., ChatGPT, Claude), AI tools, and prompt engineering techniques.
  • Foundational skills in at least one programming or scripting language (e.g., Python, JavaScript, SQL, or similar).
  • Exposure to automation or low-code tools (e.g., UiPath, Power Automate, Power Apps, Zapier, n8n, or similar) is strongly preferred.
  • Experience with data analysis and visualization tools (e.g., Excel, Power BI, Tableau, AWS Quick, or similar) is a plus.
  • Ability to read and interpret process documentation, business requirements, and technical specifications.
  • Strong analytical and problem-solving skills with attention to detail and accuracy.
  • Effective written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.
  • Demonstrated ability to work collaboratively in a team environment and manage multiple tasks with supervision.
  • Familiarity with software development lifecycle (SDLC), agile methodologies, or project management practices is beneficial.

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