HARMAN(A Samsung Company) Off Campus Drive 2026 for Associate Software Engineer

HARMAN Off Campus DriveHARMAN(A Samsung Company) Off Campus Drive 2026‐ Details:

Detailed Eligibility:

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Associate Engineer – AI/ML with Python

What Makes You Eligible:

• 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.

Bonus Points If You Have:

• 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.

What You Need to Be Successful:

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• 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.

What You Will Do:

• 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).

• 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.
• 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.