Supply Chain Logistics

MACHINE LEARNING TECHNOLOGIES LLC; North Bergen (NJ); On-site; USD 30,000 - 48,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in North Bergen, NJ, is seeking a Supply Chain Logistics professional to coordinate shipments, manage inquiries, and verify documents. You will arrange special shipping as needed and ensure timely billing while maintaining service quality.

The role requires experience in logistics coordination, inventory control familiarity, and strong organizational skills to handle multiple tasks concurrently with accuracy.

Qualifications

• Proven experience in logistics coordination or a related field is preferred.
• Familiarity with inventory control systems and warehouse operations is essential.
• Experience operating forklifts is a plus.
• Strong negotiation skills with the ability to build relationships with suppliers and stakeholders.
• Knowledge of dispatching processes and transportation management systems is highly desirable.
• Excellent organizational skills with the ability to manage multiple tasks simultaneously while maintaining attention to detail.

Responsibilities

• Coordinating with transportation providers to ensure prompt and proper movement of shipments.
• Responding to customer inquiries and referring clients to the proper channels.
• Reviewing booking details and shipping documents to ensure accuracy.
• Making special shipping arrangements as necessary.
• Tracking and fixing shipping errors.
• Preparing bills and invoices in a timely manner.
• Ensuring that the quality of all services provided meets the required standards.

Skills

Logistics coordination

Inventory control

Forklift operation

Negotiation

Dispatching processes

Transportation management systems

Tools

Transportation Management Systems

Job description

Job Details

• Job ID: J52723
• Job Title: Supply Chain Logistics
• Location: North Bergen, NJ
• Duration: 21 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Full Job Description

Coordinating with transportation providers to ensure prompt and proper movement of shipments

Responding to customer inquiries and referring clients to the proper channels

Reviewing booking details and shipping documents to ensure accuracy

Making special shipping arrangements as necessary

Tracking and fixing shipping errors

Preparing bills and invoices in a timely manner

Ensuring that the quality of all services provided meets the required standards

Experience

• Proven experience in logistics coordination or a related field is preferred.
• Familiarity with inventory control systems and warehouse operations is essential.
• Experience operating forklifts is a plus.
• Strong negotiation skills with the ability to build relationships with suppliers and stakeholders.
• Knowledge of dispatching processes and transportation management systems is highly desirable.
• Excellent organizational skills with the ability to manage multiple tasks simultaneously while maintaining attention to detail.

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract