AI/ML Engineer

Machine Learning Technologies, LLC; Columbus (OH); Presencial; USD 75.000 - 110.000; Jornada completa

Descripción de la vacante

Machine Learning Technologies, LLC is seeking an AI/ML Engineer for a hands-on learning role. You will build AI tools, dashboards, and automated workflows using Microsoft Copilot, Power Platform, Python, and SQL to support laboratory operations.

You will organize laboratory data, document workflows, and help integrate systems across environments while learning cybersecurity, data protection, and change control requirements.

Formación

• Bachelor's degree or equivalent in a related field.
• 0–2 years of relevant AI/automation experience.
• Interest in applying AI, data, software, or automation to improve laboratory operations.
• Foundational experience with Microsoft Power Platform, generative AI tool use and development, Python, SQL, data visualization, workflow automation, or application development.

Responsabilidades

• Assist with building AI tools, dashboards, and automated workflows using approved platforms.
• Help organize and analyze laboratory data to improve sample tracking, inventory, scheduling, instrument utilization, reporting, and turnaround time.
• Learn and document laboratory workflows to identify bottlenecks, manual steps, and opportunities for AI or automation.
• Use approved tools such as Microsoft Copilot, Copilot Studio, Visual Studio, Power Automate, Power Apps, Power BI, SharePoint, Python, and SQL.
• Support integration among laboratory systems, instrument data, spreadsheets, databases, and business applications.
• Help develop and maintain internal data management systems and electronic notebooks across multiple laboratory environments.
• Participate in requirements gathering, testing, validation, documentation, training, and end‑user support.
• Capture and report metrics such as time saved, reduced manual entries, fewer errors, improved data access, and increased user adoption.
• Follow requirements for cybersecurity, data protection, responsible AI, quality, safety, and change control within both internal and client frameworks.

Educación

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Chemistry, Biology, Laboratory Science, or a related field

Herramientas

Microsoft Copilot

Copilot Studio

Visual Studio

Power Automate

Power Apps

Power BI

SharePoint

Python

SQL

Descripción del empleo

Job Description:
We are currently seeking an AI/ML Engineer. This is a hands‑on learning role. Initial projects may include AI‑assisted data review, sample and inventory tracking, workflow automation, dashboards, laboratory scheduling, document search, and tools that help staff access and use laboratory information more effectively.

• Assist with building practical AI tools, low‑code applications, dashboards, forms, and automated workflows using approved platforms
• Help organize and analyze laboratory data to improve sample tracking, inventory, scheduling, instrument utilization, reporting, and turnaround time
• Learn and document laboratory workflows to identify bottlenecks, manual steps, and opportunities for AI or automation
• Use approved tools such as Microsoft Copilot, Copilot Studio, Visual Studio, Power Automate, Power Apps, Power BI, SharePoint, Python, and SQL
• Support integration among laboratory systems, instrument data, spreadsheets, databases, and business applications
• Help develop and maintain internal data management systems and electronic notebooks across multiple laboratory environments
• Participate in requirements gathering, testing, validation, documentation, training, and end‑user support
• Capture and report metrics such as time saved, reduced manual entries, fewer errors, improved data access, and increased user adoption
• Follow requirements for cybersecurity, data protection, responsible AI, quality, safety, and change control within both internal and client frameworks

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Chemistry, Biology, Laboratory Science, or a related field; or an equivalent combination of education and experience
• Zero to two years of relevant experience, including internships, co‑ops, research, coursework, or significant projects
• Interest in applying AI, data, software, or automation to improve laboratory operations
• Foundational experience with one or more of the following: Microsoft Power Platform, generative AI tool use and development, Python, SQL, data visualization, workflow automation, or application development.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.