Oferta pracy

Motorola Solutions

AI and Machine Learning Developer

Motorola SolutionsO firmie

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Rekrutacja zdalna

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Motorola Solutions

Ul.Czerwone Maki 82 30-392 Krakow

Kraków

Company Overview

At Motorola Solutions, we create technologies our customers refer to as their lifeline.  Our technology platforms in communications, software, video and services help our customers work safely and more efficiently.  Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe.  Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security.

Department Description

Our IT organization has a critical role in driving extraordinary business results. We’re looking for people who bring great ideas and who make our partners’ ideas better. Intellectually curious advisors (not order takers) who focus on outcomes to creatively solve business problems. People who not only embrace change but who accelerate it.

The Enterprise Architecture team has a multi-prong charter of being proactive to ensure the IT architecture matches our business vision, assuring the company can handle disruption, to ensure that our solutions and integrated designs match our infrastructure, and to give emerging technology full exploration and enable it for use within our company.

AI and Machine Learning Developer
Kraków
R9334

Job Description

Candidates for this position are software engineers with strong programming skills who demonstrate curiosity, continuous learning, and an ability to adapt. Ideal candidates have a background in Artificial Intelligence, Machine Learning, and data science.  Need to create functional prototypes to showcase capabilities to customers in the AI/ML space. The role will be in the ML Ops team, which is a subset of the Architecture team, with focus on developing AI/ML solutions. 

Scope of Responsibilities / Expectations:
  • Develop AI/ML Solutions to address business requirements.
  • Perform feature engineering activities common to machine learning
  • Display standard data science statistics for models
  • Determine which features are relevant and contributing to the solution
  • Work with functional and integration teams to help architect an end to end solution
  • Be able to set up APIs to test the predictions
  • Understand various algorithms and which are best for each use case
  • Understanding and ability to handle regression, forecasting, categorical, and classification
  • Develop and maintain artificial intelligence components
  • Design, implement and support machine learning algorithms
  • Rebuild and retrain production models regularly
  • Experiment with new AI/ML services and evangelize the benefits.
  • Develop standards and procedures for machine learning Platforms.

Basic Requirements
  • 2+  years of experience programming in Python, Pandas, Numpy, etc. 
  • Experience with data science packages and machine learning frameworks
  • Expertise in Machine Learning Techniques, Artificial intelligence,
  • Experience with AI/ML frameworks
  • Experience working in projects that have deployed AI/ML models in production
  • Experience working with container technologies like Docker,Kubernetes
  • Software Development Life Cycle experience
  • Experience in working with teams using Agile methodologies like Scrum
  • Self-motivated team player who demonstrates initiative and flexibility
  • Strong verbal and written communication skills
Education
  • BS degree in Data Science, Computer Science, and/or related field

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:

  • Competitive salary package
  • Private medical & dental coverage
  • Life insurance
  • Employee Stock Purchase Plan
  • Flexible working hours
  • Strong collaborative culture
  • Comfortable work conditions (high-class offices, parking space)
  • Volleyball field and grill place next to the office
  • Access to wellness facilities and integration events as well as training and broad
  • Development opportunities.

Company Overview

At Motorola Solutions, we create technologies our customers refer to as their lifeline.  Our technology platforms in communications, software, video and services help our customers work safely and more efficiently.  Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe.  Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security.

Department Description

Our IT organization has a critical role in driving extraordinary business results. We’re looking for people who bring great ideas and who make our partners’ ideas better. Intellectually curious advisors (not order takers) who focus on outcomes to creatively solve business problems. People who not only embrace change but who accelerate it.

The Enterprise Architecture team has a multi-prong charter of being proactive to ensure the IT architecture matches our business vision, assuring the company can handle disruption, to ensure that our solutions and integrated designs match our infrastructure, and to give emerging technology full exploration and enable it for use within our company.

AI and Machine Learning DeveloperNumer ref.: R9334

Job Description

Candidates for this position are software engineers with strong programming skills who demonstrate curiosity, continuous learning, and an ability to adapt. Ideal candidates have a background in Artificial Intelligence, Machine Learning, and data science.  Need to create functional prototypes to showcase capabilities to customers in the AI/ML space. The role will be in the ML Ops team, which is a subset of the Architecture team, with focus on developing AI/ML solutions. 

Scope of Responsibilities / Expectations:
  • Develop AI/ML Solutions to address business requirements.
  • Perform feature engineering activities common to machine learning
  • Display standard data science statistics for models
  • Determine which features are relevant and contributing to the solution
  • Work with functional and integration teams to help architect an end to end solution
  • Be able to set up APIs to test the predictions
  • Understand various algorithms and which are best for each use case
  • Understanding and ability to handle regression, forecasting, categorical, and classification
  • Develop and maintain artificial intelligence components
  • Design, implement and support machine learning algorithms
  • Rebuild and retrain production models regularly
  • Experiment with new AI/ML services and evangelize the benefits.
  • Develop standards and procedures for machine learning Platforms.

Basic Requirements
  • 2+  years of experience programming in Python, Pandas, Numpy, etc. 
  • Experience with data science packages and machine learning frameworks
  • Expertise in Machine Learning Techniques, Artificial intelligence,
  • Experience with AI/ML frameworks
  • Experience working in projects that have deployed AI/ML models in production
  • Experience working with container technologies like Docker,Kubernetes
  • Software Development Life Cycle experience
  • Experience in working with teams using Agile methodologies like Scrum
  • Self-motivated team player who demonstrates initiative and flexibility
  • Strong verbal and written communication skills
Education
  • BS degree in Data Science, Computer Science, and/or related field

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:

  • Competitive salary package
  • Private medical & dental coverage
  • Life insurance
  • Employee Stock Purchase Plan
  • Flexible working hours
  • Strong collaborative culture
  • Comfortable work conditions (high-class offices, parking space)
  • Volleyball field and grill place next to the office
  • Access to wellness facilities and integration events as well as training and broad
  • Development opportunities.

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