Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.

Department Overview

The Supply Chain Analytics department is responsible for leveraging advanced Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) techniques to optimize supply chain operations. As a Supply Chain AI Engineer, you will work closely with data scientists and analysts to develop and deploy cutting-edge AI/ML models, including GenAI solutions, that drive actionable insights and enable data-driven decision-making across the organization.

Job Description

You will:

• Design, develop, and deploy advanced AI/ML and Generative AI cloud solutions.

• Develop, test, and deploy robust data-driven models, including prototyping and implementing GenAI applications (e.g., automated documentation, intelligent planning).

• Improve models by integrating new data, refining features, and optimizing hyperparameters.

• Ensure data quality through exploratory analysis and cleansing for reliable model performance.

• Integrate solutions into existing systems and document/communicate methodologies to both technical and non-technical audiences.

• Stay current with GenAI and ML advancements to proactively enhance supply chain analytics capabilities.

Basic Requirements

• MA or BA in Computer Science, Data Science, Engineering, or a related field.

• 2–5 years of professional experience as a ML Engineer / Data Scientist.

• Experience with cloud computing platforms (AWS, Azure, GCP) and deploying machine learning models in a production environment.

• Demonstrated skill in Python, Java, or R; experience with ML libraries like PyTorch & TensorFlow. 

• Hands-on knowledge of AI/ML frameworks and tools (OpenAI, LangChain, vector DBs, RAG).

• Understanding of system design & comfort working with RESTful APIs, JSON, and data pipelines.

• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and present technical concepts to non-technical stakeholders.

• Prior experience in supply chain or related domains is a plus.

We offer:

• Flexible working hours,

• Hybrid mode,

• Comfortable working conditions (high class offices, parking space),

• Competitive salary package,

• Strong team-oriented culture,

• Contract of employment,

• Private medical & dental coverage,

• Life insurance,

• Multisport card or MyBenefit vouchers

• 1000 PLN for spectacles,

• Employee Pension Plan (PPE),

• ESPP - Motorola Solutions stock programme,

• Trainings and broad development opportunities,

• Volleyball field and grill place next to the office,

• Lots of sport activities as Moto football league, Wakeboarding, Snowboarding, e-gaming league etc.,

• Access to wellness facilities and integration events,

• Motorola Solutions is supporting CSR activities and encourages employees to participate.

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

Yes

Company

Motorola Solutions Systems Polska Sp.z.o.o

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.