Harman Off Campus 2026: ML Engineer Opportunity

Harman Off Campus Drive 2026: ML Engineer Opportunity

Harman, a Samsung company, is seeking talented ML Software Engineers for multiple locations across India. This is an excellent opportunity for entry-level candidates with 0-2 years of experience to join a dynamic team and contribute to cutting-edge projects in machine learning.

Job Overview

Job Title: ML Engineer
Job Type: Full-time
Job Location: Bangalore / Pune / Gurgaon / Coimbatore
Salary: Best in Industry
Qualification: BE/B.Tech, BSC, MCA, ME/M.Tech or related
Experience: Freshers/0-2 Years
Batch: Any

Job Description

We are looking for a talented Machine Learning Engineer to join our dynamic team. This role is ideal for individuals with 0-2 years of experience who are passionate about machine learning, data science, and artificial intelligence. The successful candidate will work closely with our experienced engineers and data scientists to develop, implement, and improve machine learning models and algorithms that drive our products and services. You’ll be involved in all stages of the machine learning lifecycle, from data collection and preprocessing to model deployment and monitoring.

Key Responsibilities:

Assist in the design, development, and implementation of machine learning models and algorithms.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Preprocess and analyze large datasets to extract meaningful insights and patterns.
Perform data cleaning, feature engineering, and data augmentation to improve model performance.
Conduct experiments to test hypotheses and evaluate the performance of different machine learning approaches.
Implement and optimize machine learning pipelines for efficiency and scalability.
Deploy machine learning models into production environments and monitor their performance.
Document methodologies, processes, and results to ensure reproducibility and knowledge sharing.
Stay up to date with the latest advancements in machine learning and related technologies.

Required Skills and Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
0-2 years of experience in machine learning, Generative AI, Deep Learning, Natural Language processing.
Strong fundamental knowledge of statistical modeling, machine learning, and data mining techniques, including supervised and unsupervised learning, regression, classification, clustering, and neural networks.
Proficient in programming languages such as Python and experience of development with the opensource machine learning and Generative AI stack like pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant etc.
Excellent problem-solving skills and ability to think critically and creatively.
Strong communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
Ability to work independently and as part of a team in a fast-paced, dynamic environment.
Internship or project experience related to machine learning or data science.
A project portfolio with multiple real-life projects (pet projects are welcome).

Preferred Skills and Qualifications:

Experience with big data tools and platforms, such as Hadoop, Spark, or Hive.
Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud Platform.
Familiarity with SQL and NoSQL databases.
Understanding of software development best practices, including version control (Git) and Agile methodologies.

The Importance of Continuous Learning

The field of machine learning is constantly evolving. Staying updated with the latest research, tools, and techniques is crucial for success. This includes:

Reading research papers and industry blogs
Participating in online courses and workshops
Contributing to open-source projects
Networking with other professionals in the field

Example Projects for Your Portfolio

To showcase your skills and experience, consider including the following types of projects in your portfolio:

Image Classification: Build a model to classify images into different categories (e.g., cats vs. dogs).
Sentiment Analysis: Develop a model to analyze the sentiment of text data (e.g., positive, negative, neutral).
Recommendation System: Create a system to recommend products or services to users based on their preferences.
Time Series Forecasting: Build a model to predict future values based on historical data (e.g., stock prices, weather patterns).

Machine Learning Technologies

Technology	Description
Python	Primary language for ML development, offering extensive libraries.
TensorFlow	Open-source library for numerical computation and large-scale machine learning.
PyTorch	Open-source machine learning framework known for its flexibility and ease of use.
scikit-learn	Simple and efficient tools for data mining and data analysis.
Keras	High-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
Pandas	Data manipulation and analysis library.
NumPy	Library for numerical computing with support for large, multi-dimensional arrays and matrices.
Langchain	Framework for developing applications powered by language models.
LlamaIndex	Data framework for your LLM application.
ChromaDB	Open-source embedding database.
Qdrant	Vector similarity search engine.

How To Apply

Freshers who meet the eligibility criteria and are interested in the Harman can apply as soon as possible.

Harman Apply Link: Click Here