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# Senior Software Engineer - Applied AI/ML

- **Company:** Motorola Solutions, Inc.
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $135,000.0 - $155,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Databases, Continuous Integration, Distributed Computing Environment, Github, Python (Programming Language), Machine Learning, Natural Language Processing, Software Architecture, Tensorflow, Standard Sql, Software Engineering, Software Requirements Analysis, Software Systems, Workflow Management Systems, Google Cloud, Real Time Systems, Pytorch, Large Language Models, Generative AI, AWS Lambda, AI Platforms, Kubernetes, Information Technology, HuggingFace, Production Code, Build Process, Machine Learning Operations, Software Coding, Software Version Control, Serverless Computing, Docker, Jenkins, Databricks
- **Published:** June 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=6f4302c7e4f58658

## About the Role

Do you have experience in Version control?, * 4+ years of software development experience working with Python, SQL

 * Must be a US Citizen with ability to obtain necessary security clearance as required by government contract
 * Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.
 * Expert knowledge of software design and best practices for full development life cycle, including coding standards, code reviews, source control management, build processes, testing methodology, security, and audit/monitoring requirements.
 * Strong analytical skills capable of evaluating ideas, assessing risks, and controlling feature scope in real-time streaming solutions.
 * Highly proficient database and data modeling skills
 * Experience developing containerized solutions (Docker, Kubernetes) and serverless infrastructure (e.g. AWS Lambda).
 * Experience working with cloud-based solutions and configuration: Azure, AWS, and GCP.
 * Excellent written and oral communication skills to collaborate in a multinational environment with teams spanning the globe.
 * Familiarity with MLOps and full ML lifecycle management from prototype to production
 * Experience iterating on models and production code based on feedback

Additional Skills

 * Experience working with ML models, including traditional networks and large language models (LLMs)
 * Delivered solutions across domains like audio, NLP, generative AI, edge AI
 * Experience with ML frameworks (PyTorch, Tensorflow) and infrastructure (e.g., Databricks, MLFlow, AWS SageMaker, Hugging Face)
 * Experience with distributed computing frameworks like Ray
 * Experience with orchestration tools like Apache Airflow or Temporal
 * Bachelor's or Master's degree in Computer Science, Engineering, or a related field., * Bachelors degree with 4+ years of software development experience working with Python
 * AND 4+ years of experience using CI/CD (Github Actions, Azure DevOps, or Jenkins)
 * Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position.
 * Must be a U.S. citizen with ability to obtain necessary security clearance as required by government contract

## Description

The AI Services team is looking for an experienced software engineer experienced with audio data, machine learning, and designing scalable systems. Our area of work is to enable fast, accurate, and natural communication between human operators and their underlying information in real-time systems., * Develop mission-critical software solutions that are maintainable, testable, scalable, performant, and highly available.

 * Promote best practices in software architecture, coding standards, and quality assurance while developing interfaces and workflow orchestration for real-time and batched solutions.
 * Support evaluation and analysis of our solutions and models (latency benchmarks, noisy audio and data, accuracy, etc)
 * Build and warehouse datasets for training and validation purposes, working closely with data scientists and other engineers.
 * Ensure security, compliance, and compartmentalization of data for public safety and enterprise customers.
 * Design and implement scalable ML/AI systems and pipeline
 * Optimize model performance and accuracy to meet system requirements


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