Company Overview
At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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.
25 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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.
Required Experience:
IC
Company OverviewAt Motorola Solutions we believe that everything starts with our people. Were 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...
Company Overview
At Motorola Solutions we believe that everything starts with our people. Were 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 thats 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.
25 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 youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.
Required Experience:
IC
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