Company Overview

At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission-critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters.

Department Overview

The Supply Chain Analytics department is responsible for leveraging advanced analytics and machine learning techniques to optimize supply chain operations. By analyzing large volumes of data, we aim to improve forecasting accuracy, enhance inventory management, streamline transportation logistics, and optimize production planning. As a Machine Learning Engineer, you will work closely with data scientists and analysts to develop and deploy machine learning models that drive actionable insights and enable data-driven decision-making across the organization.

Job Description

• Collaborate with data scientists, engineers, and analysts to understand business requirements and design machine learning solutions that address supply chain challenges.

• Develop, test, and deploy machine learning models that support demand forecasting, inventory optimization, transportation, and production planning.

• Improve existing machine learning models by incorporating new data sources, enhancing feature engineering techniques, and optimizing model hyperparameters.

• Design and implement data pipelines to ensure seamless data flow from various sources into the machine learning models.

• Conduct exploratory data analysis and data cleansing to understand data quality issues and ensure accurate and reliable model performance.

• Collaborate with cross-functional teams to integrate machine learning models into existing systems and processes, ensuring scalability and efficiency.

• Monitor and evaluate model performance, identify opportunities for improvement, and implement necessary adjustments to enhance accuracy and reliability.

• Stay up-to-date with the latest advancements in machine learning techniques, tools, and frameworks, and proactively recommend their adoption to improve supply chain analytics capabilities.

• Document and communicate technical solutions, methodologies, and model performance to stakeholders, including non-technical audiences.

Basic Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

• Strong background in machine learning, statistical modeling, and predictive analytics.

• Proficiency in programming languages commonly used in machine learning, such as Python or R.

• Experience with machine learning libraries and frameworks, such as TensorFlow, Keras, or scikit-learn.

• Solid understanding of data engineering principles and experience with data manipulation, analysis, and visualization using SQL, Pandas, or similar tools.

• Familiarity with cloud computing platforms, such as AWS or Azure, and experience deploying machine learning models in a production environment.

• Strong problem-solving skills and the ability to translate business requirements into technical solutions.

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

• Attention to detail and a strong commitment to delivering high-quality solutions.

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

In return for your expertise, we’ll support you in this new challenge with coaching & development every step of the way.

Also, to reward your hard work you’ll get:

• 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.

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 [email protected].