drjobs Supply Chain AI/ML Engineer

Supply Chain AI/ML Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Krakow - Poland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

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 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

  • Bachelors or Masters 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 well support you in this new challenge with coaching & development every step of the way.

Also to reward your hard work youll 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 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.

Employment Type

Full-Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.