Remote AI/ML Engineer Intern (Elastic/Kibana)

Motorola Solutions; Milwaukee (WI); Remoto; USD 30.000 - 47.000; Tempo pieno

Descrizione del lavoro

Motorola Solutions is seeking a Software Engineering Co-op to contribute to ML/AI functionalities within Elastic Elasticsearch, including data analytics, search, and visualization tasks. You will work with Go, Python, and TypeScript to build scalable cloud solutions for secure LPR data distribution and edge features.

The role emphasizes AI agent development with the ADK, integration of Elastic Kafka/KQL/ESQL, and delivering maintainable code in a collaborative, remote-friendly environment for a

Competenze

• High School Diploma required.
• Pursuing a Bachelor's Degree with graduation date of December 2027 or later.
• Legal authorization to work in the U.S. indefinitely; employer sponsorship not available.

Mansioni

• Design, develop, and integrate Machine Learning and AI capabilities leveraging Elastic Elasticsearch functionalities.
• Write efficient scripts and queries using Elastic KQL and ESQL for data search, analysis, and retrieval.
• Build reporting and visualization tools using Elastic Kibana functionalities.
• Design and develop AI agents using the AI Agent Development Kit (ADK).
• Implement clean, maintainable, and scalable code in Python and TypeScript.

Conoscenze

Python

TypeScript

Go (Golang)

Elastic KQL/ESQL

Elastic Kibana

ADK (AI Agent Development Kit)

Formazione

High School Diploma

Pursuing Bachelor's Degree (Dec 2027 or later)

Strumenti

Elastic Elasticsearch

Elastic Kibana

NoSQL Databases

Descrizione del lavoro

Motorola Solutions is seeking a Software Engineering Co-op to contribute to ML/AI functionalities within Elastic Elasticsearch, including data analytics, search, and visualization tasks. You will work with Go, Python, and TypeScript to build scalable cloud solutions for secure LPR data distribution and edge features.

The role emphasizes AI agent development with the ADK, integration of Elastic Kafka/KQL/ESQL, and delivering maintainable code in a collaborative, remote-friendly environment for a