Advanced Engineer: ML, LLM, NLP, RAG
HARMAN (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 11h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end delivery of production-grade AI systems including LLM-powered applications, RAG pipelines, NLP solutions, and multimodal models integrating audio and images.
- Lead development and adoption of AI tools improving productivity and quality across Systems Engineering, Software Engineering, and Testing within Car Audio SDLC, with measurable impact on cycle time and quality metrics.
- Lead and mentor a team (~5 engineers), coordinate with global stakeholders, enforce engineering best practices, and manage predictable execution of AI-enabled tooling projects.
Minimum Requirements
- 8+ years of hands-on AI/ML engineering experience with production deployments.
- Strong exposure to Software Development Life Cycle (SDLC) in large-scale product environments.
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field.
- Role based in Bangalore; hybrid working model with some global collaboration requiring occasional irregular hours.
Ideal Candidate Profile
- Experienced in developing and deploying AI tooling for engineering workflows focused on car audio or related embedded systems domains.
- Proficient in advanced Python, PyTorch/TensorFlow, NLP/LLMs (HuggingFace Transformers), RAG architectures with vector DBs, and multimodal ML involving audio and vision.
- Capable of managing small engineering teams with global coordination, driving measurable productivity improvements and tool adoption in complex SDLC environments.