AI Engineer / Developer (Cloud & Communications)
Motorola Solutions4 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Develop, fine-tune, deploy, and optimize machine learning models for audio processing, NLP, and generative AI.
- Implement real-time noise suppression, acoustic anomaly detection, and speech-to-text pipelines for high-noise environments.
- Build backend logic and prompt engineering for dispatch summarization and intelligent keyword alerting.
- Optimize AI models for resource-constrained push-to-talk devices using edge deployment frameworks.
- Integrate AI workloads across AWS, Azure, and GCP with scalable APIs and microservices.
- Build and maintain secure Retrieval-Augmented Generation pipelines for internal knowledge assistants.
- Design and maintain machine learning CI/CD pipelines and automate model training, testing, and deployment.
- Implement monitoring for model performance, data drift, latency, and operational reliability.
- Build internal AI-powered tools for code reviews, automated QA test generation, and predictive cloud infrastructure maintenance.
Requirements
- At least 3 years of hands-on experience as a Machine Learning Engineer, AI Developer, or Software Engineer focused on applied AI.
- Expert-level proficiency in Python and strong working knowledge of C++.
- Deep experience with PyTorch, TensorFlow, or JAX, plus familiarity with LangChain, LlamaIndex, or Hugging Face.
- Practical experience with digital signal processing, automatic speech recognition, and audio-based neural networks.
- Hands-on experience with Docker, Kubernetes, and cloud machine learning services such as AWS SageMaker, Azure ML, or Vertex AI.
- Ability to quantize, prune, and optimize models for mobile or edge hardware.
- Experience deploying maintainable software in high-availability, mission-critical environments.
- Ability to translate strategic requirements into functioning software solutions.
Benefits
- Travel is under 10%.
- No relocation is provided.
Tech Stack
Categories
About Motorola Solutions
Motorola Solutions builds mission‑critical communications, video security and access control, body‑worn cameras, and command‑center software for public safety agencies and enterprises. It sells radios and LMR/P25 systems, cloud software, and managed services used by police, fire, and critical infrastructure operators. Headquartered in Chicago and publicly traded on the NYSE (MSI), the company was formed in 2011 after Motorola’s split and operates globally.