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Machine Learning Ai Supply Chain Jobs (NOW HIRING)

C3 AI

Senior Product Manager - Supply Chain

Redwood City, CA · On-site

$154K - $204K/yr

C3 AI is an Enterprise AI application software company that delivers integrated products for ... for their Supply Chain suite, focusing on building intelligent AI-driven products that address ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain...As a Machine Learning Engineer on our core AI/ML team, you will design and ...

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Machine Learning Ai Supply Chain information

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How much do machine learning ai supply chain jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for machine learning ai supply chain in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $38.70 per hour, depending on experience, location, and employer.

What is a Machine Learning AI Supply Chain professional?

A Machine Learning AI Supply Chain professional uses artificial intelligence and machine learning technologies to optimize and automate processes within the supply chain. Their responsibilities often include analyzing large datasets, forecasting demand, improving inventory management, and enhancing logistics efficiency. By leveraging advanced algorithms, they help companies reduce costs, minimize risks, and make more data-driven decisions throughout the supply chain. These professionals typically have expertise in both supply chain management and data science or AI. Their work is crucial for businesses aiming to stay competitive in today’s fast-paced, technology-driven market.

What is the difference between Machine Learning Ai Supply Chain vs Data Analyst?

AspectMachine Learning Ai Supply ChainData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; knowledge of ML frameworksBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentTech-driven supply chain teams, logistics companies, manufacturingBusiness departments, consulting firms, finance, marketing
Employer & Industry UsageSupply chain management, logistics, manufacturing industriesVarious industries including finance, marketing, healthcare

Machine Learning Ai Supply Chain specialists focus on developing AI models to optimize supply chain processes, while Data Analysts interpret data to support business decisions across industries. Both roles require strong analytical skills, but their applications and tools differ significantly.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Supply Chain professional, and why are they important?

To thrive in Machine Learning AI Supply Chain roles, you need a solid background in data science, supply chain management, and programming, often supported by a degree in computer science, engineering, or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and ERP systems is typically required, along with experience in supply chain optimization algorithms. Strong problem-solving, analytical thinking, and collaboration skills help professionals stand out by enabling them to translate complex data into actionable supply chain strategies. These skills and qualities are vital for leveraging AI to drive efficiency, reduce costs, and enhance decision-making within supply chain operations.

How does a Machine Learning AI professional in supply chain typically collaborate with other departments to implement predictive analytics solutions?

Machine Learning AI professionals working in supply chain often collaborate closely with operations, IT, procurement, and logistics teams to implement predictive analytics solutions. They translate business needs into technical requirements, work with data engineers to ensure data quality and availability, and partner with operations managers to align models with real-world processes. Frequent cross-functional meetings and iterative feedback loops are common, as these professionals must ensure their models are actionable and integrate smoothly with existing workflows. This collaborative environment fosters continuous improvement and helps maximize the impact of AI-driven insights on supply chain efficiency.
Supply Chain Analyst, Kinaxis

Supply Chain Analyst, Kinaxis

Apex Tool Group, LLC

Lexington, SC • On-site

Other

Posted 4 days ago

Apex Tool Group rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

120th of 417 rated machine equipment manufacturers

Job description

The Blueprint (Role Profile)

The Kinaxis CoE, Supply Chain Solutions Analyst supports the administration, enhancement, and continuous improvement of the company's Kinaxis Maestro platform. This role contributes to platform configuration, user support, issue resolution, testing, and process improvement across supply chain planning. Working with supply chain, IT, master data, and business stakeholders, this individual helps coordinate customer-provided data management and supports Maestro changes that improve planning effectiveness, governance, scalability, and user adoption. Supply chain planning experience is required; experience with AI, machine learning, or production scheduling is a plus. This position will be based in our Lexington, SC office.

Come build your future with us!

The Build (Responsibilities)
  • Support administration of the Kinaxis Maestro platform, including user access, role management, data management, environment coordination, and governance activities
  • Support the design, testing, and deployment of Maestro authoring changes, including worksheets, dashboards, alerts, workflows, and related planning functionality
  • Partner with business stakeholders to gather requirements, document changes, and support scalable process and system improvements
  • Coordinate with IT and business stakeholders to support customer-provided data management and process alignment
  • Troubleshoot system, data, and process issues and coordinate resolution with IT and business partners
  • Support testing, documentation, training, and end-user adoption for enhancements, fixes, releases, and process improvements
  • Collaborate across demand, supply, inventory, S&OP, and production planning to support planning effectiveness and continuous improvement
  • Support master data validation, cleansing, and issue resolution
  • Support Kinaxis deployments, enhancements, and implementation activities
The Toolbox (Qualifications)
  • Bachelor's degree in Supply Chain, Business, Information Systems, Engineering, Operations, or a related field
  • 3+ years of experience in supply chain planning, supply chain systems, or a related business/technology role
  • Experience supporting Kinaxis RapidResponse or Kinaxis Maestro administration, configuration, or authoring activities.
  • Knowledge of supply chain planning processes, including demand, supply, inventory, S&OP, deployment, or production planning.
  • Strong analytical, problem-solving, communication, ownership, and cross-functional collaboration skills.
  • Experience with user support, training, ERP/data tools, or Kinaxis certification is preferred; experience applying AI, advanced analytics, or automation in supply chain or planning environments is a plus
  • Ability to travel up to 20%; at peak periods, travel may increase to 50%

What Apex Tool Group employees say

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Hours and flexibility

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