AI Engineer IV Operations

Logan, OH - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

At ASI we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture construction landscaping and logistics we deliver technologies that enhance safety productivity and efficiency. With our core values of Simplicity Safety Transparency Humility Attention to Detail Autonomy and Growth guiding everything we do were shaping the future of automation in dynamic markets.

As an AI Engineer IV (Operations) you will prototype integrate and deploy AI applications that automate operational decisions across manufacturing and fleet operations. You will turn data into actionable automation and decision logic that reduces downtime improves throughput and drives scalable operational improvements. Working with operations leads software engineers and data teams you will move models from experiment to production-ready automations and contribute to the monitoring and feedback loops that keep those automations safe and effective.

Responsibilities

Assist with identifying bottlenecks in manufacturing and fleet workflows and implement analytics and rule-based automations.
Prepare datasets perform feature engineering and build baseline predictive maintenance and forecasting models for equipment and fleet hardware.
Contribute to decision logic implementations such as alerting triage rules and simple dispatch criteria with human in the loop review.
Integrate models and automations into existing tools and workflows by working with software engineers to build dashboards APIs and operational interfaces.
Participate in CI/CD for ML pipelines containerization and basic Kubernetes deployments under supervision.
Instrument models and automations with monitoring metrics and feedback pipelines to measure business impact and detect drift or failure modes.
Document experiments model assumptions operational playbooks and handoff artifacts to enable reproducibility and safe operations.
Support data collection labeling and lightweight tooling that accelerates operational model iteration and deployment.

Required Qualifications

Bachelors degree in Computer Science Statistics Industrial/Mechanical/Electrical Engineering or a related field or equivalent practical experience.
10 years of experience in data science analytics or operations automation with an emphasis on ML LLM and overall AI operations in recent years.
Practical experience with time series forecasting or supervised learning techniques applied to operational data.
Proficiency in Python and SQL for data preparation modeling and analysis.
Familiarity with Docker Git and CI/CD concepts; basic experience with Kubernetes is a plus.
Ability to translate model outputs into clear operational logic and to explain results to non-technical stakeholders.
Strong analytic and debugging skills with attention to operational safety repeatability and measurable impact.
Willingness to collaborate closely with field teams operations leads and software engineers to deploy and validate solutions.

Physical Requirements

Ability to remain in a stationary position at a computer workstation for extended periods.
Ability to operate a computer and other office productivity equipment continuously.
Ability to effectively complete job responsibilities using computer monitors and electronic communication tools.
Ability to communicate and exchange information in person via phone and through electronic means.
Ability to traverse office lab and field environments as required.

At Autonomous Solutions Inc. (ASI) we are committed to fostering a diverse inclusive and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race color religion sex national origin age disability genetic information veteran status sexual orientation gender identity or any other legally protected characteristic. ASI complies with all applicable federal state and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

Required Experience:

At ASI we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture construction landscaping and logistics we deliver technologies that enhance safety productivity and efficiency. With our core values of Simplicity Safety Transparency Humili...

Responsibilities

Assist with identifying bottlenecks in manufacturing and fleet workflows and implement analytics and rule-based automations.
Prepare datasets perform feature engineering and build baseline predictive maintenance and forecasting models for equipment and fleet hardware.
Contribute to decision logic implementations such as alerting triage rules and simple dispatch criteria with human in the loop review.
Integrate models and automations into existing tools and workflows by working with software engineers to build dashboards APIs and operational interfaces.
Participate in CI/CD for ML pipelines containerization and basic Kubernetes deployments under supervision.
Instrument models and automations with monitoring metrics and feedback pipelines to measure business impact and detect drift or failure modes.
Document experiments model assumptions operational playbooks and handoff artifacts to enable reproducibility and safe operations.
Support data collection labeling and lightweight tooling that accelerates operational model iteration and deployment.

Required Qualifications

Bachelors degree in Computer Science Statistics Industrial/Mechanical/Electrical Engineering or a related field or equivalent practical experience.
10 years of experience in data science analytics or operations automation with an emphasis on ML LLM and overall AI operations in recent years.
Practical experience with time series forecasting or supervised learning techniques applied to operational data.
Proficiency in Python and SQL for data preparation modeling and analysis.
Familiarity with Docker Git and CI/CD concepts; basic experience with Kubernetes is a plus.
Ability to translate model outputs into clear operational logic and to explain results to non-technical stakeholders.
Strong analytic and debugging skills with attention to operational safety repeatability and measurable impact.
Willingness to collaborate closely with field teams operations leads and software engineers to deploy and validate solutions.

Physical Requirements

Ability to remain in a stationary position at a computer workstation for extended periods.
Ability to operate a computer and other office productivity equipment continuously.
Ability to effectively complete job responsibilities using computer monitors and electronic communication tools.
Ability to communicate and exchange information in person via phone and through electronic means.
Ability to traverse office lab and field environments as required.

Required Experience:

Key Skills

Change Management
Software Deployment
Cloud Infrastructure
High Availability
IaaS
Firewall
Linux
Middleware
Jboss
Network Architecture
Scripting
Technical Support

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About Company

Autonomous Solutions

Autonomous SolutionsApplying Artificial Intelligence and Machine Learning to Optimize Industrial Vehicle ApplicationsExplore Our CompaniesAutonomous Yard ShiftingThe Future of Yard Shifting is NowLearn MoreAutonomous Agriculture that Feeds the WorldWorking with the World's Leading Com ... View more

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