Associate Engineer-AI/ML
HARSH INTERNATIONAL · Kolkata · onsite · Posted 55d ago
Undisclosed3–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Job Summary
Responsibilities
Bonus Points if You Have
What Makes You Eligible
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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
We are looking for a high-impact AI/ML Engineer with up to 3-5 years of experience to build next-generation Automotive AI systems , aligned with HARMAN AES's vision of agentic, cross-domain automotive intelligence .
This role focuses on developing and deploying SLMs (Small Language Models), VLM/VLA models, and AI orchestration layers across edge and cloud environments , enabling intelligent cockpit, ADAS, and connected vehicle experiences.
Responsibilities
- AI/ML Model Development, Domain Specific Finetuning Deployment: Develop and optimize SLMs (Small Language Models) for: In-vehicle conversational AI; Context-aware reasoning and intent handling; Deploy model on Edge Device (CPU, NPU, GPU); Work with VLM/VLA models for: Scene understanding, multi-modal perception, and interaction; Implement edge + cloud AI pipelines for real-time inference and hybrid execution
- Agentic AI Orchestration Systems: Develop AI orchestration layers : Intent routing and tool routing; Policy engines, scheduling, and coordination; Cross-domain context management
- Multi-Modal Cross-Domain Intelligence: Build systems integrating: Voice (ASR, TTS, NLU);Visual perception (VLM/VLA);Sensor fusion signals; Enable cross-domain intelligence across cockpit, ADAS, and connected services
- Data, MLOps: Design ML pipelines and MLOps workflows : Model training, evaluation, deployment, monitoring; Ensure compliance with:Safety, cybersecurity, and automotive standards
- Collaboration Engineering Integration: Work with: Embedded software teams;Cloud/data engineering teams;HMI and system integration teams; Contribute to end-to-end automotive AI platforms and solutions
Bonus Points if You Have
- Automotive domain exposure (ADAS, cockpit, connectivity)
- Speech AI (ASR, TTS, conversational systems)
- Knowledge of: AUTOSAR / embedded systems
- Vehicle data platforms
- Experience with: Simulation environments
- Digital twin / validation platforms
- Seamless integration of in-vehicle AI solutions
- End-to-end AI engine development on edge devices leveraging NPU, CPU, and GPU capabilities
- AI/ML model inference on edge devices using C++ APIs or NNAPI for optimized performance
What Makes You Eligible
- Core AI/ML
Strong experience in: Deep learning, NLP, and computer vision; LLM/SLM fine-tuning and optimization; Exposure toVLM/VLAor multi-modal AI models - Agentic AI Orchestration
Hands-on experience with: AI agents / tool-using LLMs; Orchestration frameworks (LangChain, Langgraph/Autogent/Semantic Kernel, custom pipelines) - Edge + Cloud AI
Experience deploying models on: Embedded / edge platforms; Cloud environments (Azure, AWS, GCP) - Programming Frameworks
Python (mandatory), C++ (preferred); PyTorch / TensorFlow; API-based AI integration - MLOps Data
Experience with: Model lifecycle management; CI/CD pipelines; Data pipelines
Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
cockpitCI/CD Pipelinesai integrationAutomotive Domainapiscloud aiai modelsAutomotiveComputer Visionamazon web servicesAdasautosarBankingAutomotive StandardsAudio SystemsAutomotive AIcloudcomplianceAi SolutionsMicrosoft AzureArtificial Intelligence
About HARSH INTERNATIONAL
HARSH INTERNATIONAL
Retail
25
employees
Eaton, CO (US)
US
₹4.3L PA avg
Avg at HARSH INTERNATIONAL
About
HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd.
Industries
Retail
Employee ratings
10 reviews
3.2/ 5
Culture
4.2
Career growth
3.8
Work-life
4.2
Employees rate it well for
Skill Development41Work-Life Balance36
Find them on