Supply Chain AI Specialist

Key Skills

Aartificial intelligence, Apache Hadoop, AWS, Azure, Google Cloud Platform (GCP), Machine learning techniques, Predictive analytics, Python Programming, R Programming, SQL, Supply Chain Management, Tableau

Job Description

Responsibilities:

• Develop and implement GenAI solutions: Research, design, and build custom GenAI models for various supply chain challenges, including demand forecasting, inventory optimization, supplier selection, cost reductions and risk management.

• Manage large datasets. Identifying and collecting relevant data from various sources within the supply chain, cleaning and preparing the data for analysis, and ensuring data quality and integrity.

• Model training and evaluation: Train and evaluate GenAI models using relevant datasets and metrics. Fine-tune models for optimal performance and accuracy.

• Deployment and integration: Deploy trained GenAI models into existing supply chain systems and integrate them with relevant platforms.

• Collaboration and communication: Work closely with cross-functional teams, including supply chain managers, data analysts, and IT professionals, to understand business needs and translate them into actionable GenAI solutions.

• Stay abreast of industry trends: Keep up-to-date with the latest advancements in GenAI technologies and their applications in the supply chain domain.

• Contribute to research and development: Actively participate in research projects and explore innovative GenAI applications to enhance supply chain efficiency and agility.

Preferred Qualifications:

• Excellent communication and presentation skills
• Experience with Supply Chain Management Systems (e.g. ERP, WMS, TMS)
• Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g. Hadoop)
• Familiarity with cloud computing services (AWS, Azure, GCP)

• Knowledge of GenAI, machine learning, predictive analytics or similar role in supply chain management.
• Knowledge of R, SQL, and Python; familiarity with Scala, Java, or C++ preferred
• Strong math skills and problem-solving preferred
• Professional certification in data science preferred

Basic Requirements

Required Skills:

• Bachelor’s degree in Artificial Intelligence, Computer Science, or Engineering

• Five years of experience with AI and Machine Learning required.

• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.

LI-JM3

LI-HYBRID

Travel Requirements

10-25%

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

Yes

Our U.S. Benefits include:

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 10 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please email ohr@motorolasolutions.com.