Machine Learning Engineer

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 OverviewCandidates for this position are ML 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.
Job Description

• 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

• Research, explore, and implement practical applications leveraging a wide range of Generative AI models.

• Gain hands-on experience in designing, building, and evaluating AI-powered solutions to address real-world challenges across diverse domains.

• Embrace and master new and emerging AI technologies through focused learning, experimentation, and practical implementation.

• Continuously expand the depth and breadth of AI knowledge and skills to stay at the forefront of technological advancements.

• 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.

• Optimize models for performance, accuracy, and efficiency in line with organizational requirements.

• Ensure data quality, consistency, and ethical use, adhering to privacy regulations and best practices.

• Monitor and mitigate risks associated with bias, misuse, and unintended consequences of generative AI systems.

• Translate complex technical concepts into accessible language, ensuring effective communication and understanding among stakeholders at all levels

Basic Requirements

• 2+ years of software engineering experience with a successful track record of delivering quality results

• Expertise 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

• Self-motivated team player who demonstrates initiative and flexibility

• Strong verbal and written communication skills

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

• Employee Pension Plan

• 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

#LI-LB1

Travel RequirementsUnder 10%
Relocation ProvidedDomestic
Position TypeExperienced

Referral Payment PlanNo

CompanyMotorola 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].