Associate Engineer - AI/ML with Python

The HARMAN interview process typically starts with an online aptitude and coding test, followed by a technical interview focusing on Python, machine learning fundamentals, and AI project experience. The final HR round assesses cultural fit, communication skills, and salary expectations. Candidates should practice coding speed, review LLM concepts, and be ready to discuss past projects.

HARMAN Automotive promotes a collaborative work culture where engineers are encouraged to experiment and innovate. Employees benefit from structured learning programs, mentorship, and a balanced work‑life environment that values flexibility and personal growth.

Bachelor’s or Master’s degree in Computer Science, Engineering (CSE, ECE, IT), Data Science, AI/ML or related fields; minimum 60% aggregate (or CGPA 6.0/10); final year students of 2024‑2026 batches are eligible; no active backlogs at the time of joining; strong foundation in programming, data structures, and algorithms.

Round 1: Online Aptitude & Coding Test → Round 2: Technical Interview (AI/ML concepts, Python coding, system design) → Round 3: HR Interview (fitment, motivations, salary discussion)

HARMAN Automotive, a subsidiary of Samsung, is a global leader in connected car technology, audio solutions, and infotainment systems. With a presence in over 100 countries, the company blends cutting‑edge hardware with sophisticated software to create seamless driving experiences. Its Bangalore campus, located in the Kalyani Platina tech park, serves as a hub for innovation, bringing together engineers, data scientists, and designers to work on next‑generation automotive solutions. The culture at HARMAN emphasizes collaboration, continuous learning, and a passion for technology that transforms everyday mobility. The role of Associate Engineer – AI/ML with Python is designed for fresh graduates or early‑career professionals who are eager to dive into the world of Agentic AI and Large Language Models. As an integral member of the AI team, you will contribute to building intelligent, scalable services that power in‑vehicle infotainment, driver assistance, and personalized user experiences. The position offers exposure to end‑to‑end AI product development, from data preprocessing and model training to deployment on cloud platforms. Key Responsibilities: 1. Design and implement Agentic AI workflows leveraging LLMs, planners, and memory modules. 2. Build LLM‑driven applications using LangChain, LlamaIndex, or similar frameworks. 3. Develop RESTful APIs and backend services with Django, Flask, FastAPI, or Vert.x. 4. Create Retrieval‑Augmented Generation (RAG) pipelines using vector databases and embeddings. 5. Perform feature engineering, data cleaning, and model training with TensorFlow, PyTorch, or Scikit‑learn. 6. Implement secure authentication mechanisms (OAuth, JWT) for web services. 7. Manage asynchronous tasks with Celery and orchestrate micro‑services using Docker and Kubernetes. 8. Collaborate with cross‑functional teams to integrate AI models into production systems. 9. Contribute to CI/CD pipelines and cloud deployments on AWS. 10. Participate in agile ceremonies, code reviews, and knowledge‑sharing sessions. Tech Stack: Python, Django/Flask/FastAPI, LangChain, LlamaIndex, TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy, MySQL, Redis, Elasticsearch, ScyllaDB, Docker, Kubernetes, AWS, Git, CI/CD tools. Growth Path: Starting as an Associate Engineer, you can progress to Senior Engineer, Lead AI Engineer, and eventually AI Architecture roles, with opportunities to lead product modules, mentor junior talent, and influence the strategic AI roadmap at HARMAN. Why Join HARMAN Automotive? You will work on real‑world automotive AI problems, gain hands‑on experience with state‑of‑the‑art LLM technologies, and be part of a globally recognized brand that invests heavily in employee development, flexible work environments, and innovative projects that shape the future of mobility.