Advanced Engineer ML, LLM, NLP, RAG

Introduction: A Career at HARMAN Automotive

Were a global multi-disciplinary team thats putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity in-depth research and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment safety efficiency and enjoyment

About the Role

As anAI Technical Lead you will own end-to-end delivery of production-grade AI systems includingLLM-powered applications RAG pipelines NLP solutions and multimodal models involving audio and images. You will integrate these capabilities into engineering workflows to improve quality speed and traceability across the Car Audio development lifecycle.

This role is ideal for an engineer with strongimplementation SDLC exposure who can guide architecture over time and lead a small team to deliver real measurable outcomes.

What You Will Do

• Lead development of AI tools that improve productivity and quality across:
  • Systems Engineering: requirements parsing ambiguity detection traceability automation change impact analysis
  • Software Engineering: code intelligence defect/risk prediction review assistants documentation automation
  • Testing & Validation: test case generation log/trace analytics failure clustering intelligent triage coverage optimization
• Drive tool adoption via measurable improvements (cycle time reduction faster triage improved quality metrics).

NLP LLMs & RAG Applications

• Develop and fine-tune transformer-based models (BERT/GPT-class etc.) for classification similarity and automation.
• BuildRetrieval-Augmented Generation (RAG)pipelines using vector databases (FAISS Pinecone etc.).
• Implement prompt engineering evaluation andguardrails(privacy safety hallucination control).
• Build copilots/assistants for engineering teams (Systems/SW/Test) with strong reliability and auditability.

Deployment MLOps & SDLC Integration

• Containerize AI services usingDockerand support deployment onKubernetes and/or cloud (AWS/Azure/GCP).
• Establish MLOps practices: experiment tracking model registry/versioning CI/CD for ML monitoring drift detection.
• Implement observability for AI tools (latency failures data drift usage analytics); Prometheus/Grafana exposure is a plus.

Team Leadership

• Lead and mentor ateam of 5 engineers: planning technical execution code reviews and delivery ownership.
• Coordinate with global stakeholders manage priorities and ensure predictable execution.
• Enforce engineering best practices (secure coding testing documentation maintainability).

What You Need to Be Successful

• 8 yearsof hands-on experience in AI/ML engineering with production deployments.
• Strong exposure toSDLCin large-scale product environments.
• Proven experience delivering AI-enabled tooling or platforms used by engineers.
• Bachelors/Masters in CS/AI/Data Science or related field.
• Automotive/embedded exposure is a plus (Car Audio domain strongly preferred).
• Python (Advanced)
• PyTorch / TensorFlow
• NLP/LLMs:HuggingFace Transformers orchestration frameworks prompt engineering
• RAG vector databases(FAISS/Pinecone/etc.)
• Multimodal ML:
  • Audio processing libraries (e.g. librosa/torchaudio) and feature pipelines (e.g. mel-spectrograms)
  • Image processing / vision models (OpenCV CNN/ViT-based approaches)
  • Multimodal embeddings and retrieval (audio/image/text)
• Docker Git Linux
• Cloud exposure (AWS/Azure/GCP) Kubernetes familiarity
• CI/CD fundamentals and monitoring/observability basics

Bonus Points if You Have

• Experience withaudio ML in automotive(acoustic tuning/QoE in-cabin signals infotainment-related audio analytics)
• Multimodal LLM or VLM exposure (imagetext understanding document AI multimodal RAG)
• Inference optimization (quantization batching GPU acceleration)
• MLOps tooling (MLflow or similar)
• Knowledge ofASPICE / ISO 26262concepts traceability verification evidence automation

What Makes You Eligible

• Occasional travel (if required)
• Willingness to work from HARMAN office in Bengaluru (Hybrid model).
• Successful completion of background verification

What We Offer

• Flexible work environment allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.
• Access to employee discounts on world-class products (JBL HARMAN Kardon AKG and more)
• Extensive training opportunities through our own HARMAN University
• Competitive wellness benefits
• Tuition reimbursement
• Be Brilliant employee recognition and rewards program.
• An inclusive and diverse work environment that fosters and encourages professional and personal development.

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HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.