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

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.


Job Description

Candidates 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. 


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

  • 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.

Must Haves:

  • 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

#LI-MP2
#LI-REMOTE


Basic Requirements

  • Master Degree with 0+ years of professional working experience


Travel Requirements

None


Relocation Provided

None


Position Type

New Grad


Referral Payment Plan

No

Our U.S. Benefits include:

  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits
  • 401K with Company Match
  • 10 Paid Holidays
  • Generous Paid Time Off Packages
  • Employee Stock Purchase Plan
  • Paid Parental & Family Leave
  • and more!


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 ohr@motorolasolutions.com.

Location

Chicago, IL

Remote Job

Job Overview
Job Posted:
3 weeks ago
Job Expires:
Job Type
Full Time

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