Python Ml Developer Jobs in Ohio (NOW HIRING)

Key Responsibilities:

• Design, build, and maintain agentic workflows and autonomous systems
• Develop and integrate AI models into production-grade applications
• Collaborate with cross-functional teams to gather requirements and deliver AI-driven solutions
• Implement orchestration logic for multi-agent systems and task automation
• Write clean, scalable, and maintainable code in support of AI initiatives
• Monitor and optimize the performance of AI systems in production
• Stay current with advancements in AI, LLMs, and agentic architectures

Minimum Required Qualifications:

• Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math)
• Minimum of 3 years in AI/ML engineering experience.
• GE Aerospace will not sponsor individuals for employment visas, now or in the future, for this job opening.

Preferred Skills and Qualifications:

• Provide a valid LinkedIn profile.
• This role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development.
• Proven experience as a Full Stack Engineer with AI/ML background
• The work involves using AWS tools to design and build AI-driven systems - not just training or fine-tuning models, but also crafting effective prompts, validating model performance through data analysis, and managing risks like hallucinations or bias.
• The role requires building prototype-level data pipelines that move data to and from models for training, evaluation, and review.
• Strong software development skills with proficiency in Python, JupyterHub, GitHub, Visual Studio, etc.
• Exposure to designing and building agentic workflows or multi-agent systems.
• Familiarity with orchestration frameworks (e.g., LangChain, AutoGen, CrewAI, or similar)
• Solid understanding of AI/ML concepts, including LLMs and prompt engineering
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (Docker, Kubernetes) and in solution architecture.
• Ability to navigate ambiguous/complex challenges.
• Experience applying AI/ML techniques to solve real-world problems.
• Ability to interact with customers, understand their needs, and provide technical support.

The base pay range for this position is$95,000-140,000. The specific pay offered may be influenced by a variety of factors,including the candidate's experience, education, and skill set.This position is also eligiblefor an annual discretionary bonus based on apercentage of your base salary/ commission based on the plan.This posting isexpected to close on July 27th, 2026.

GE Aerospace offers comprehensive benefits and programs to support your health and, along with programs like HealthAhead, your physical,emotional, financial and social wellbeing. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to aHealth Coach from GE Aerospace; and the Employee Assistance Program, which provides 24/7 confidential assessment, counseling andreferral services. Retirement benefits include the GE Aerospace Retirement Savings Plan, a 401(k) savings plan with company matchingcontributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits includetuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness.

This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)).

GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Employees may also be subject to random and reasonable-suspicion drug and alcohol testing.