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HARMAN Hiring Associate Engineer – AI/ML with Python | Freshers | Bangalore

HARMAN

Full Time 📍 Bangalore

Job Description

HARMAN Recruitment 2026 – Associate Engineer (AI/ML with Python)

HARMAN has announced an exciting opportunity for fresh graduates and early-career professionals by opening applications for the Associate Engineer – AI/ML with Python role in Bangalore. This is an excellent opportunity for candidates who are passionate about Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Python Development, and Cloud Technologies.

If you have a strong programming foundation and want to build intelligent AI-powered applications while working on next-generation automotive technologies, this role offers valuable industry exposure, hands-on experience, and career growth.

About the Role

HARMAN is looking for enthusiastic candidates interested in developing AI-powered software solutions using modern technologies such as Large Language Models (LLMs), Agentic AI, Machine Learning, Python, Cloud Computing, and Web Technologies.

Selected candidates will collaborate with experienced engineering teams to design, build, test, and deploy intelligent applications while working on innovative automotive technology solutions.

Key Responsibilities

Selected candidates will work on:

  • Design and develop Agentic AI workflows using Large Language Models (LLMs).
  • Build AI-powered applications using frameworks such as LangChain and LlamaIndex.
  • Develop backend services and REST APIs using Python frameworks like Django, Flask, FastAPI, Robyn Framework, or Vert.x.
  • Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings.
  • Assist in machine learning model development, feature engineering, and data preprocessing.
  • Develop secure web applications and microservices.
  • Work with SQL and NoSQL databases including MySQL, Redis, ElasticSearch, and ScyllaDB.
  • Containerize applications using Docker and support Kubernetes deployments.
  • Support CI/CD pipelines and AWS cloud deployments.
  • Collaborate with agile teams throughout the Software Development Life Cycle (SDLC).

Eligibility Criteria

Candidates should have:

  • Bachelor's degree or be a final-year student in Computer Science, AI/ML, Data Science, or a related field.
  • 0–1 year of experience or strong academic/project experience in AI, Machine Learning, or Software Development.
  • Strong foundation in programming, data structures, and software engineering.
  • Passion for Artificial Intelligence and emerging technologies.
  • Ability to work in a collaborative and fast-paced environment.

Required Technical Skills

Applicants should have knowledge of:

  • Python (Mandatory)
  • Machine Learning fundamentals
  • HTML & CSS
  • REST APIs
  • JSON
  • SQLAlchemy
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Git & GitHub
  • NLP Fundamentals
  • Transformers
  • Large Language Models (LLMs)

Exposure to Java, GoLang, SQL, or JavaScript will be an added advantage.

Preferred Skills

Candidates with exposure to the following will have an advantage:

  • LangChain
  • LlamaIndex
  • Hugging Face
  • Agentic AI
  • Retrieval-Augmented Generation (RAG)
  • Docker
  • Kubernetes
  • Jenkins
  • Kibana
  • AWS
  • Open-source projects
  • AI/ML internships
  • Personal GitHub projects

What HARMAN Offers

Selected candidates will receive:

  • Competitive salary and benefits
  • Professional learning and career development opportunities
  • Exposure to cutting-edge AI and Machine Learning technologies
  • Collaborative engineering environment
  • Recognition through the BeBrilliant program
  • Opportunity to work on projects for a renowned German OEM
  • Hands-on experience with modern AI development tools

Why Join HARMAN?

HARMAN is a global technology company known for developing innovative automotive, connected, and AI-driven solutions. Engineers at HARMAN work on advanced technologies including Artificial Intelligence, cloud-native systems, software engineering, and intelligent mobility solutions while collaborating with global teams.

This role provides an excellent opportunity for fresh graduates to gain practical experience in modern AI technologies and enterprise software development.

How to Apply

Interested and eligible candidates can apply through the official HARMAN Careers portal by submitting their application for the Associate Engineer – AI/ML with Python position.

Apply Link: https://jobsearch.harman.com/en_US/careers/JobDetail/Associate-Engineer-AI-ML-with-Python/31487

Frequently Asked Questions (FAQs)

1. Who can apply for the HARMAN Associate Engineer – AI/ML with Python role?

Candidates with a Bachelor's degree or final-year students in Computer Science, AI/ML, Data Science, or related fields can apply.

2. Is this role open for freshers?

Yes. HARMAN is hiring candidates with 0–1 year of experience.

3. What is the job location?

The position is based in Bangalore, Karnataka.

4. Which programming language is mandatory?

Python is the mandatory programming language for this role.

5. Which AI technologies should candidates know?

Knowledge of Machine Learning, NLP, Large Language Models (LLMs), TensorFlow, PyTorch, LangChain, and related AI technologies is beneficial.

6. Is work from home available?

No. According to the official job posting, employees are expected to work five days a week from the office.

7. What frameworks are mentioned in the job description?

The role includes working with Django, Flask, FastAPI, LangChain, LlamaIndex, TensorFlow, PyTorch, and Scikit-learn.

8. Are internships accepted as experience?

Yes. Internship experience or academic AI/ML projects are considered valuable for this position.

Disclaimer

This job listing is shared solely for informational purposes based on publicly available sources; upGrad is not affiliated with, authorized by, or acting on behalf of the hiring company, and does not participate in or influence the recruitment process.

Applicants must apply only through the official company website and proceed at their own discretion and risk

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