Associate Engineer AI/ML with Python

Candidates typically face a three‑stage process: an online aptitude test, a technical interview focusing on data structures, algorithms, and AI/ML fundamentals, followed by an HR round assessing cultural fit. The difficulty is moderate to high, with emphasis on problem‑solving speed and clear articulation of AI concepts. Practicing coding platforms and reviewing past HARMAN interview experiences can greatly improve performance.

HARMAN Automotive promotes a collaborative, innovation‑first culture where engineers are encouraged to experiment and own end‑to‑end solutions. Employees benefit from structured learning programs, mentorship, and a balanced work‑life environment that respects personal time while delivering high‑impact projects.

Bachelor’s degree (or final‑year) in Computer Science, Information Technology, Electronics & Communication, AI/ML, Data Science or related field; minimum 60% aggregate (or CGPA 6.0/10); batch year 2025 or 2026; no active backlogs at the time of joining; strong foundation in programming, data structures, and software engineering.

Round 1: Online aptitude test (quantitative, logical reasoning, English) → Round 2: Technical interview (coding on platforms like LeetCode, AI/ML concepts, system design) → Round 3: HR interview (fitment, motivation, culture)

HARMAN Automotive is a global leader in connected car technology, audio solutions, and digital experiences. With a legacy that dates back to the 1920s, the company has evolved from pioneering sound systems to delivering end‑to‑end automotive platforms that blend infotainment, safety, and efficiency. Operating across more than 100 countries, HARMAN serves iconic brands such as JBL, Mark Levinson, and Revel, and partners with major German OEMs to embed cutting‑edge software and hardware into the next generation of vehicles. The organization prides itself on a culture of innovation, collaboration, and relentless focus on quality, offering employees the chance to work on products that reach millions of users worldwide. The role of Associate Engineer AI/ML with Python is designed for fresh graduates or early‑career professionals who are passionate about building intelligent, agentic AI systems. You will work within a multidisciplinary team to design, develop, and deploy AI‑driven workflows that leverage Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and autonomous agents. The position offers hands‑on exposure to the entire AI product lifecycle—from data preprocessing and model training to API development, containerization, and cloud deployment on AWS. Key Responsibilities: 1. Design and implement Agentic AI pipelines using LangChain, LlamaIndex, and other LLM orchestration tools. 2. Build RESTful services with Django, Flask, FastAPI, or Vert.x to expose AI capabilities. 3. Create RAG pipelines using vector databases (e.g., Pinecone, Milvus) and embedding models. 4. Develop and maintain micro‑services with secure authentication (OAuth, JWT). 5. Write asynchronous tasks with Celery for background model inference. 6. Containerize applications using Docker and support Kubernetes‑based deployments. 7. Participate in model training, hyper‑parameter tuning, and CI/CD pipeline setup. 8. Collaborate with cross‑functional teams across the SDLC, contributing to code reviews and agile ceremonies. 9. Conduct performance monitoring, logging, and troubleshooting of AI services. 10. Stay updated with emerging AI research and propose innovative solutions for in‑vehicle infotainment and safety features. Tech Stack: Python, LangChain, LlamaIndex, Django/Flask/FastAPI, Celery, Docker, Kubernetes, AWS (S3, EC2, SageMaker), MySQL, Redis, ElasticSearch, ScyllaDB, Git, CI/CD (Jenkins/GitHub Actions), TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy. Growth Path: Starting as an Associate Engineer, you can progress to Senior AI Engineer, Lead AI Architect, or Product Manager for AI solutions within 3‑5 years, depending on performance and skill acquisition. The role offers mentorship from senior researchers and exposure to real‑world automotive projects, positioning you for a fast‑track career in AI‑driven mobility. Why Join HARMAN: You will work on high‑impact projects that shape the future of automotive experiences, collaborate with a globally recognized brand, and gain access to state‑of‑the‑art tools and datasets. The company’s commitment to continuous learning, diversity, and employee well‑being makes it an ideal place for ambitious engineers to thrive.