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Advanced Engineer: ML, LLM, NLP, RAG

Harman International -
Bengaluru, Karnataka

Apply Now

Job details

Permanent

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Law
Kubernetes
R
Git
Research
.NET
Master's degree
AWS
Docker
Bachelor's degree
Continuous integration
Natural language processing
OpenCV
Linux
Data science
AI
Leadership
Python
Data Science
SDLC

Full job description

Location:

IN_Bangalore_Sattva Knowledge Court Bdg_HII

Job Family:

Engineering

Worker Type Reference:

Regular - Permanent

Pay Rate Type:

Salary

Career Level:

T3(B)

Job ID:

R-52929-2026

Description & Requirements

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s 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 an AI Technical Lead, you will own end-to-end delivery of production-grade AI systems, including LLM-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 strong implementation + SDLC exposure, who can guide architecture over time and lead a small team to deliver real, measurable outcomes.

What You Will Do

1.Lead AI-Enabled Tool Development for Car Audio SDLC (Systems / SW / Testing)

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.
Build Retrieval-Augmented Generation (RAG) pipelines using vector databases (FAISS, Pinecone, etc.).
Implement prompt engineering, evaluation, and guardrails (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 using Docker and support deployment on Kubernetes 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 a team 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+ years of hands-on experience in AI/ML engineering with production deployments.
Strong exposure to SDLC in large-scale product environments.
Proven experience delivering AI-enabled tooling or platforms used by engineers.
Bachelor’s/Master’s 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 with audio ML in automotive (acoustic tuning/QoE, in-cabin signals, infotainment-related audio analytics)
Multimodal LLM or VLM exposure (image+text understanding, document AI, multimodal RAG)
Inference optimization (quantization, batching, GPU acceleration)
MLOps tooling (MLflow or similar)
Knowledge of ASPICE / ISO 26262 concepts, 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.

#LI-AR2

About HARMAN: Where Innovation Unleashes Next-Level Technology

Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other.

If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

Important Notice: Recruitment Scams

Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com', ‘@careers.harman.com’ or ‘@harmanglobal.avature.net’ email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: [email protected].

You Belong Here

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.

HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers. All qualified applicants will receive consideration for employment without regard to race, 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. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.(www.harman.com)

HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at [email protected]. Requests will be considered on a case-by-case basis in accordance with applicable law.

Apply Now

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Description & Requirements

1.Lead AI-Enabled Tool Development for Car Audio SDLC (Systems / SW / Testing)

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