Associate Engineer – AI/ML with Python Jobs at HARMAN | Freshers | Bengaluru | Apply Now


HARMAN Automotive is hiring Associate Engineer – AI/ML with Python for its Bengaluru office. This is an excellent opportunity for fresh graduates and candidates with up to 1 year of experience who are passionate about Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Agentic AI, and Python development.


If you're looking to build next-generation AI applications using modern technologies like LangChain, RAG, FastAPI, Docker, Kubernetes, and AWS while working with one of the world's leading automotive technology companies, this opportunity is worth exploring.


Job Details


Company: HARMAN Automotive

Role: Associate Engineer – AI/ML with Python

Location: Bengaluru, Karnataka

Job Type: Full-Time

Experience: 0–1 Year

Work Mode: Work From Office (5 Days)

Job Family: Artificial Intelligence & Machine Learning


About HARMAN


HARMAN Automotive is a global technology company known for developing innovative automotive, connected, and AI-powered solutions. The company builds advanced infotainment systems, intelligent software platforms, and next-generation automotive technologies used by leading vehicle manufacturers worldwide. Employees get the opportunity to work with cutting-edge technologies in a collaborative and innovation-driven environment.


Key Responsibilities


• Design and develop Agentic AI workflows using LLMs, planners, tools, and memory components.

• Build AI-powered applications using LangChain and LlamaIndex.

• Develop backend services and REST APIs using Python frameworks such as Django, Flask, FastAPI, Robyn, or Vert.x.

• Build Retrieval Augmented Generation (RAG) pipelines using vector databases and embeddings.

• Perform data preprocessing, feature engineering, and Machine Learning model development.

• Develop secure web applications with OAuth and JWT authentication.

• Implement asynchronous background processing using Celery.

• Work with databases including MySQL, Redis, ElasticSearch, and ScyllaDB.

• Containerize applications using Docker and support Kubernetes deployments.

• Participate in AWS cloud deployments and CI/CD pipelines.

• Collaborate with cross-functional teams throughout the Software Development Life Cycle (SDLC).


Required Skills

• Strong programming knowledge in Python

• Understanding of Machine Learning fundamentals

• Knowledge of HTML, CSS, and modern web development

• Basic understanding of NLP, Transformers, and Large Language Models

• Familiarity with TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy

• REST API development

• JSON and SQLAlchemy

• Git, GitHub, or Bitbucket

• CI/CD concepts

• Strong analytical and problem-solving skills


Preferred Skills


• Agentic AI

• LangChain

• LlamaIndex

• Hugging Face

• Retrieval Augmented Generation (RAG)

• Vector Databases

• Docker

• Kubernetes

• Jenkins

• Kibana

• AWS Cloud

• Full Stack Development

• Open Source Contributions

• Personal GitHub Projects


Eligibility


• Bachelor's Degree or Final Year Student in Computer Science, AI/ML, Data Science, or related field.

• Freshers or candidates with up to 1 year of experience.

• Strong programming fundamentals and software engineering concepts.

• Passion for Artificial Intelligence and emerging technologies.


Why Join HARMAN?


• Work on cutting-edge Agentic AI and LLM technologies.

• Build real-world AI-powered applications.

• Learn from experienced AI engineers.

• Access modern cloud and AI development tools.

• Competitive salary and employee benefits.

• Career growth and continuous learning opportunities.

• Collaborative global work environment.

• Recognition through HARMAN's BeBrilliant rewards program.


How to Apply


Interested candidates can apply through the official HARMAN Careers portal by the link 

Apply Now


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Disclaimer

Software Jobs Daily shares job opportunities from official company sources. We are not involved in the hiring process. Candidates are advised to verify all details through the official company website before applying.


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