AI Engineer / Developer (Cloud & Communications)
Motorola Solutions (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and productionize AI for customer-facing cloud and push-to-talk products, including real-time audio processing, ASR, radio-chatter summaries and keyword alerts.
- Deploy AI across cloud and resource-constrained edge devices; develop scalable APIs and secure RAG pipelines while balancing latency, reliability, accuracy and compute use.
- Own ML CI/CD, model monitoring and operational tooling to track drift and latency and automate internal engineering and cloud operations.
Minimum Requirements
- Work Experience Required: 3+ years as an ML Engineer, AI Developer or Software Engineer focused on applied AI.
- Expert-level Python; deep experience with PyTorch, TensorFlow or JAX; practical DSP, speech recognition (ASR) and audio-neural-network implementation experience.
- Hands-on Docker, Kubernetes and cloud ML services experience; proven ability to quantize, prune and optimize models for mobile or edge hardware.
- Experience deploying software in high-availability, mission-critical environments.
Ideal Candidate Profile
- Has applied AI experience in telecommunications, UCaaS or cloud SaaS, especially for communications or push-to-talk products.
- Can take models from proof of concept to reliable production across cloud and edge, with practical attention to real-time audio, latency and constrained-device performance.
- C++ experience and familiarity with LLM orchestration frameworks such as LangChain, LlamaIndex or Hugging Face are advantageous.