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Weekend Remote Ai Engineer Jobs in Ohio (NOW HIRING)

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Weekly pay with full remote flexibility * Professional growth investment, including paid ...

AI/ML Engineer Location: Dayton, OH Employment Type: Full-Time Clearance requirements: TS/SCI About ... Weekly pay with full remote flexibility * Professional growth investment, including paid ...

Showing results 41-60

Weekend Remote Ai Engineer information

What is a Weekend Remote AI Engineer?

Weekend Remote AI Engineers are professionals who design, build, and maintain artificial intelligence systems while working remotely, typically on weekends. They may be employed part-time, as freelancers, or on a project basis to assist organizations with AI development outside of standard business hours. Their responsibilities can include developing machine learning models, processing data, and integrating AI solutions into existing products. This role is ideal for individuals seeking flexible work arrangements or supplemental income, and it requires strong programming and analytical skills.

What is the difference between Weekend Remote Ai Engineer vs Weekend Remote Data Scientist?

AspectWeekend Remote Ai EngineerWeekend Remote Data Scientist
Required CredentialsBachelor's in CS, AI, or related field; experience with AI frameworksBachelor's in CS, Statistics, or related; experience with data analysis
Work EnvironmentRemote, project-based, AI development teamsRemote, data analysis projects, research teams
Industry UsageTech, AI startups, software companiesTech, finance, healthcare, research institutions

Weekend Remote Ai Engineers focus on developing AI models and algorithms, often working on machine learning and deep learning projects. In contrast, Weekend Remote Data Scientists analyze data to extract insights, supporting decision-making. Both roles require technical skills and often operate remotely on flexible schedules, but their core responsibilities differ in AI development versus data analysis.

What are the key skills and qualifications needed to thrive as a Weekend Remote AI Engineer, and why are they important?

To thrive as a Weekend Remote AI Engineer, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow, PyTorch), version control systems (like Git), and cloud platforms (AWS, Azure, or GCP) is essential. Excellent problem-solving, time management, and communication skills help you excel in a remote, asynchronous work environment. These competencies ensure you can independently deliver high-quality AI solutions and collaborate effectively, even outside traditional work hours.

What are some common challenges faced by Weekend Remote AI Engineers, and how can they be addressed?

Weekend Remote AI Engineers often encounter challenges such as limited real-time collaboration with team members working standard weekday hours, balancing time management with personal commitments, and staying updated with ongoing project changes. To address these, it’s helpful to utilize asynchronous communication tools, maintain clear documentation of work, and proactively sync with team leads before and after the weekend. Establishing a structured routine and setting clear goals for each weekend session can also enhance productivity and integration with the broader team.
What are popular job titles related to Weekend Remote Ai Engineer jobs in Ohio? For Weekend Remote Ai Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Ai Engineer jobs in Ohio look for? The top searched job categories for Weekend Remote Ai Engineer jobs in Ohio are:
What cities in Ohio are hiring for Weekend Remote Ai Engineer jobs? Cities in Ohio with the most Weekend Remote Ai Engineer job openings:
Infographic showing various Weekend Remote Ai Engineer job openings in Ohio as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution.

AI/ML Software Engineer

Frontier Technology Inc.

Dayton, OH • Remote

Full-time

Re-posted 13 days ago


Job description

Overview

FTI Defense is seeking an AI/ML Software Engineer to design, build, and deploy secure, scalable software and data systems that support mission operations, analytics, and simulation environments. This role is for a hands-on engineer and someone who loves writing code, building systems end-to-end, and solving real-world technical challenges in secure, distributed environments.

FTI Defense delivers mission-focused solutions to the Department of Defense (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges by integrating people, process, and technology.

Responsibilities

Software Design & Development

  • Design and implement APIs, data pipelines, and simulation runtime logic that connect and enable mission applications.
  • Develop software using modern programming languages such as Java, Python, C++, or TypeScript/Angular.
  • Write clean, testable, and maintainable code following secure coding and software engineering best practices.
  • Build and integrate modular microservices to improve scalability, maintainability, and interoperability.

Cloud & Containerized Environments

  • Build and deploy containerized, cloud-native services using Docker, Kubernetes, and CI/CD pipelines (GitLab, Jenkins, or equivalent).
  • Implement Infrastructure-as-Code and automation scripts to accelerate deployment and configuration management.
  • Contribute to secure deployments across hybrid or disconnected environments (IL4-IL6, AWS GovCloud, or on-prem).

Systems Integration & Distributed Computing

  • Develop distributed systems and data integration frameworks using message buses such as Kafka or Redis.
  • Engineer data flow between analytic, AI, and simulation components to support real-time mission use cases.
  • Collaborate with system engineers and architects to ensure interoperability across software ecosystems.

Data & Analytics Integration

  • Build and manage databases (PostgreSQL, MongoDB, graph DBs) and model complex data relationships.
  • Develop data services that feed analytics pipelines or integrate AI/ML outputs into runtime systems.
  • Work with serialization and exchange formats such as JSON, Protobuf, GeoJSON, or KML.

Security, Testing & Sustainment

  • Write, test, and deploy software within secure or classified environments.
  • Automate testing and monitoring to ensure performance, reliability, and repeatable deployments.
  • Support the transition of prototypes to operational systems, focusing on maintainability and observability.
Education/Qualifications

Minimum Requirements:

  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional software engineering experience.
  • 3+ years of professional experience with DevSecOps, Zero-Trust, or ATO/RMF processes in Department of Defense (DoD/DoW) environments.
  • Strong full-stack or systems engineering background.
  • Proficiency in one or more of the following languages: Java, Python, C++, or TypeScript/Angular.
  • Experience building containerized, cloud-native solutions using Docker, Kubernetes, and CI/CD pipelines.
  • Complete understanding of distributed systems and message buses (Kafka, Redis, etc.).
  • Experience developing or integrating analytics and AI models into production systems.

 Preferred Qualifications:

  • Experience deploying code in IL4-IL6 or edge/disconnected environments.
  • Familiarity with databases such as PostgreSQL, MongoDB, or graph databases.
  • Knowledge of Infrastructure-as-Code (Terraform, CloudFormation, or CDK).
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

#LI-MB1

#LI-Remote

Employment Type: FULL_TIME