Machine Learning Engineer

About the Company

At Motorola Solutions, we believe that everything starts with safety. It’s the constant that empowers people to confidently move forward. As a global leader in public safety and enterprise security, we create and connect the technologies that help to keep people safe where they live, learn, work and play. Our integrated technology ecosystem unifies critical communications, video security and access control, and command center software, enabling collaboration in more powerful ways. At Motorola Solutions, we’re ushering in a new era in public safety and security. Bring your passion, potential and talents to a career that 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.

About the Role

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.
• 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.

Requirements

• 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.

Basic Requirements

• Master Degree with 0+ years of professional working experience.