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Python Ai Ml Jobs in Ohio (NOW HIRING)

Motorola

Senior AI Engineer (US Remote)

New Hampshire, OH · Remote

$180K - $210K/yr

Python (AI/ML development & data processing) * NodeJS with TypeScript (backend services) * AWS ecosystem (S3, IAM, CloudWatch, etc.) AI Engineering Practices: * Prompt engineering & optimization

GE Aerospace

AI/ML Software Engineer

Evendale, OH · On-site

$95K - $140K/yr

Minimum of 3 years in AI/ML engineering experience. * GE Aerospace will not sponsor individuals for ... Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio ...

GE Aerospace

AI/ML Software Engineer

Evendale, OH · On-site

$95K - $140K/yr

Minimum of 3 years in AI/ML engineering experience. * GE Aerospace will not sponsor individuals for ... Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio ...

Whiz Global LLC

ML Engineer

Columbus, OH · On-site

Job Title: ML Engineer (AI/LLM & Cloud) Location: Jersey City, NJ (Hybrid - 3 Days Onsite) OR ... The ideal candidate is a hands-on engineer with strong Python expertise, cloud experience, and ...

Whiz Global LLC

ML engineer

Columbus, OH · On-site

ML Engineering role focused on building AI solutions and integrating them into the existing ... Strong Python experience (must-have). * Experience with cloud infrastructure (must-have). * Ability ...

Lorven Technologies

AI Engineer

Columbus, OH · On-site

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Hands-on experience with Generative AI , LLMs (OpenAI, Anthropic, Llama, etc.) , LangChain , and ...

Lorven Technologies, Inc.

AI Engineer

Columbus, OH · On-site

Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn . * Hands-on experience with Generative AI , LLMs (OpenAI, Anthropic, Llama, etc.) , LangChain , and ...

Roadpass Digital

Senior AI/ML Engineer

Cincinnati, OH · On-site +1

$100K - $137K/yr

The Senior AI/ML Engineer applies deep expertise in machine learning, applied AI, and creative ... Strong experience with Python. * Strong experience with AWS services including S3, SageMaker, and ...

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Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What are popular job titles related to Python Ai Ml jobs in Ohio?

For Python Ai Ml jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Python Ai Ml jobs in Ohio look for?

The top searched job categories for Python Ai Ml jobs in Ohio are:

What cities in Ohio are hiring for Python Ai Ml jobs?

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Python Ai Ml jobs near you
Infographic showing various Python Ai Ml job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior AI/ML Lead Engineer

Altamira Technologies Corp.

Fairborn, OH • On-site

Full-time

Posted 4 days ago

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.

Altamira Technologies Corporation is in search of a Senior AI/ML Lead Engineer in Dayton, OH

As the Senior AI/ML Lead Engineer, you will spearhead the development and deployment of intelligent systems designed for real-world object tracking, automated monitoring, and intelligent triaging. You will bridge the gap between high-level research and production-grade software, coordinating complex data collections across multiple concurrent projects.
 
Acceptable candidates must be a US citizen and hold a current Secret clearance or higher.
 
Core Responsibilities
  • System Architecture: Design and implement scalable, high-performance infrastructures for real-time object detection and tracking using frameworks like PyTorch or TensorFlow.
  • Intelligent Triaging: Develop automated triage systems that prioritize and categorize incoming sensor or project data, ensuring critical events are escalated instantly.
  • Collection Coordination: Architect multi-agent or agentic workflows to synchronize data collection efforts across various projects, optimizing resource allocation.
  • Technical Mentorship: Lead a high-performing team of engineers, conducting code reviews and setting engineering standards for MLOps and production pipelines.
  • Strategic Integration: Collaborate with project managers to translate complex client requirements into actionable AI/ML roadmaps.
 
Qualifications & Skills
  • Education: Bachelor’s or above in Computer Science, AI, or a related quantitative field.
  • Experience: 7+ years of professional experience in machine learning, with at least 3 years in a leadership or "tech lead" capacity.
  • Computer Vision Expertise: Proven track record in developing computer vision models for object tracking (e.g., CNNs, Transformers) and real-time video analytics.
  • Advanced Programming: Expert-level proficiency in Python and familiarity with backend deployment tools (Docker, Kubernetes).
  • Data Management: Experience overseeing the full data lifecycle, from acquisition and cleaning to high-fidelity labeling for specialized collections.
  • Communication: Ability to articulate complex AI concepts to non-technical stakeholders and executive leadership.
Preferred Qualifications
  • Experience with agentic AI frameworks and best practice for multiple separate or stacked models
  • Experience managing AI/ML models within development and production environments to include model versioning, source code management, and deployment architecture
  • Familiarity with federal or defense-sector compliance