Senior Project Engineer - Energy & Utilities Lead

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); On-site; USD 102,000 - 146,000; Full time

Job summary

Machine Learning Technologies LLC in Charlotte, NC seeks a Senior Project Engineer to lead planning, execution, and delivery of complex engineering projects. You will coordinate across design, construction, operations, and vendors to meet technical, safety, and regulatory standards.

The role requires 8+ years in engineering or technical project execution, with 3+ years leading multidisciplinary teams. Bachelor's in Engineering is required; a Master’s and PMP/PE are preferred.

Qualifications

• 8+ years of engineering or technical project execution.
• 3+ years of leading engineering projects or multidisciplinary teams.
• Experience coordinating stakeholders, vendors, and technical teams.

Responsibilities

• Lead technical planning, coordination, and execution of engineering projects.
• Review engineering designs, drawings, calculations, and technical specifications.
• Coordinate with internal engineering teams, contractors, and external vendors.
• Monitor project schedules, budgets, resources, and delivery milestones.
• Identify technical risks and implement mitigation strategies.
• Resolve engineering challenges and provide technical guidance to project teams.

Skills

Engineering design

Project execution

Technical coordination

Leadership

Communication

Problem solving

Scheduling

Education

Bachelor's degree in Engineering

Master's degree in Engineering or Project Management

PMP/PE certifications (advantage)

Tools

MS Project

Primavera P6

Jira

AutoCAD

SolidWorks

Job description

Machine Learning Technologies LLC in Charlotte, NC seeks a Senior Project Engineer to lead planning, execution, and delivery of complex engineering projects. You will coordinate across design, construction, operations, and vendors to meet technical, safety, and regulatory standards.

The role requires 8+ years in engineering or technical project execution, with 3+ years leading multidisciplinary teams. Bachelor's in Engineering is required; a Master’s and PMP/PE are preferred.