Harman Off Campus Drive 2026 | Bangalore

Harman Off Campus Drive 2026:

Harman is hiring a AI/ML Engineer at Bangalore. The complete details about Harman Off Campus Drive 2026 as follows.

Job Role	AI/ML Engineer
Qualification	BE/B.Tech, BSC, MCA, ME/M.Tech or related
Experience	Freshers/0-1 YEars
Job Location	Bangalore

Required Qualification :- Bachelor’s degree (or final‑year student) in Computer Science, AI/ML, Data Science, or a related field.

Bachelor’s degree (or final‑year student) in Computer Science, AI/ML, Data Science, or a related field.
Strong foundation in programming, data structures, and software engineering basics.
Passion for AI, autonomous systems, and emerging technologies.
Ability to learn quickly and work effectively in a fast‑paced, collaborative environment.

Design and develop Agentic AI workflows using LLMs, tools, planners, and memory components.
Build and integrate LLM‑powered applications using frameworks such as LangChain and LlamaIndex.
Develop RESTful APIs and backend services using Django, Flask, FastAPI, Robyn Framework, or Vert.x.
Implement Retrieval Augmented Generation (RAG) pipelines using vector databases and embeddings.
Work on Machine Learning model development, including feature engineering and data preprocessing.
Develop and maintain web applications and microservices with secure authentication (OAuth, JWT).
Use Celery tasks for asynchronous processing and background AI workloads.
Work with databases and search systems such as MySQL, Redis, ElasticSearch, and ScyllaDB.
Containerize applications using Docker and support deployments on Kubernetes.
Assist in model training, CI/CD pipelines, and cloud deployments on AWS.
Collaborate in an agile team across the Software Development Life Cycle (SDLC).

0 to 1 year of experience (or strong academic/project exposure) in AI, ML, or Software Development.
Programming knowledge in Python (mandatory); exposure to GoLang, Java, SQL, JavaScript is a plus.
Understanding of HTML, CSS, and modern web application architecture.
Familiarity with Machine Learning fundamentals and common ML algorithms.
Hands-on exposure to ML libraries: TensorFlow, PyTorch, Scikit‑learn, Pandas, NumPy.
Basic understanding of NLP, Transformers, and Large Language Models (OpenAI, LLaMA).
Knowledge of RESTful APIs, JSON, and SQLAlchemy.
Experience (academic or project-based) with Git, GitHub or Bitbucket.
Awareness of CI/CD pipelines, build processes, and software deployment concepts.
Strong analytical thinking and problem‑solving mindset.

Practical experience with Agentic AI concepts (tools, reasoning, planning, memory).
Hands-on projects using Hugging Face, LangChain, or LlamaIndex.
Exposure to RAG architectures and vector databases.
Experience with Docker, Kubernetes, Jenkins, Kibana.
Familiarity with AWS services for application or ML deployment.
Internship or academic project experience in AI/ML or Full‑Stack Development.
Open‑source contributions or personal GitHub projects.

Apply In Below Link-

NOTE :- Only shortlisted candidates will receive the call letter for further rounds