Network Engineer

Machine Learning Technologies, LLC; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking an experienced Network Engineer to design, implement, configure, and maintain our network infrastructure in the Chicago area.

The role requires hands-on work with Cisco routers and switches, strong TCP/IP knowledge, and a focus on network security and reliability. You will monitor networks, troubleshoot issues, and drive improvements across LAN/WAN/VLAN and VPN implementations.

Qualifications

• Weakness-free routing and switching experience required.
• Hands-on Cisco routers and switches knowledge.
• Solid understanding of TCP/IP, LAN, WAN, VLAN, VPN and firewall concepts.
• Experience with network monitoring and troubleshooting.
• Knowledge of network security and infrastructure support.

Responsibilities

• Design, implement, configure, and maintain network infrastructure.
• Manage and optimize Cisco routers and switches in the environment.
• Monitor networks and troubleshoot issues to ensure uptime.
• Enforce security best practices across the network.

Skills

Routing & Switching

Cisco gear

TCP/IP

Network monitoring

Network security

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

We are looking for an experienced Network Engineer responsible for designing, implementing, configuring, and maintaining network infrastructure.

Mandatory Skills:

• Strong experience with Routing & Switching.
• Hands-on experience with Cisco routers and switches.
• Knowledge of TCP/IP, LAN, WAN, VLAN, VPN, and Firewall.
• Experience with network monitoring and troubleshooting.
• Knowledge of network security and infrastructure support.

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.