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Python Ml Developer Jobs in Dayton, OH (NOW HIRING)

GRVTY

DevSecOps Engineer

Dayton, OH · Hybrid

You'll help bridge the gap between development and operations - ensuring that AI/ML and analytic ... Experience with DevOps tools (GitLab CI, Jenkins, Ansible, Terraform, etc.). * Strong knowledge of ...

Honeywell

Sr Advanced Cloud Developer

Mason, OH · On-site

$56.50 - $73.25/hr

Hands-on experience deploying ML models in production environments. * Proficiency in Python and at ... Experience leading engineering teams or driving multi-team technical initiatives. * Contributions ...

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How much do python ml developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for python ml developer in Dayton, OH is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.97 and $64.71 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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What cities near Dayton, OH are hiring for Python Ml Developer jobs? Cities near Dayton, OH with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Dayton, OH as of July 2026, with employment types broken down into 84% Full Time, 4% Part Time, 1% Temporary, 10% Contract, and 1% Nights. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $118,514 per year, or $57 per hour.
FPGA AI/ML Engineer with Security Clearance

FPGA AI/ML Engineer with Security Clearance

Riverside Research

Fairborn, OH • On-site

$150K - $170K/yr

Other

Posted 16 days ago

Job description

Riverside Overview Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems. All Riverside Research opportunities require U.S. Citizenship. Position Overview Riverside Research is seeking a part-time or full-time FPGA developer with expertise in Vivado, Vitis, VHDL, and Verilog. As a valued Riverside Research employee, you will be part of a highly skilled and integrated team that develops automation solutions to challenging Scientific & Technical problems. Because this role requires regular local engagement and collaboration, we are exclusively considering candidates who currently reside in the greater Dayton, Ohio area. Responsibilities * Design, implement, and optimize FPGA video and image processing solutions using AMD/Xilinx toolchains (Vivado, Vitis) using VHDL, Verilog, or HLS.
* Integrate FPGA designs into larger systems, ensuring robust verification, documentation, and deployment across multiple platforms (UltraScale, Versal).
* Develop end to end unit and black box testing to measure system performance and support verification & validation.
* Support the transition of AI/ML Python, C/C++, and Matlab Algorithms to FPGA designs. Qualifications * Required Qualifications: * Bachelors' degree in either Computer Engineering, Electrical Engineering, Mathematics, Statistics, Physics, Computer Science, or related field of study
* Ability to troubleshoot digital logic and electronic breadboard designs
* Twelve years' experience with FPGA development
* Five years' experience with Vivado / Vitis software
* Two years' with a high-level language such as Python or Matlab
* Proficient in collaborative Office 365 tools such as MS Word, Excel, and PowerPoint
* Ability to work closely with subject-matter experts to develop tools, algorithms, and datasets needed for developing relevant and useful AI/ML prototype algorithms
* Self-driven, strong analytic, inferencing, critical thinking, and creative problem-solving skills
* Communicates highly technical results and methods clearly and succinctly Desired Qualifications: * TS/SCI Clearance
* Advanced degree (MS/PhD) in Data Science, Mathematics, Statistics, Computer Science, a Physical Science or Engineering
* Experience with AI/ML, Computer Vision, and Image Processing Techniques
* Experience with DoD and Intelligence Community customers Global Comp $150,000- $170,000 This represents the typical compensation range for this position based on experience, location and other factors. Closing Statement Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.

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