Harman Off Campus Drive 2025: a global leader in connected technologies and smart product innovation, is inviting applications from fresh graduates for the ML Engineer (Junior Associate Engineer) role as part of its Off Campus Drive 2025. This opportunity is ideal for candidates passionate about Machine Learning, AI, Data Science, and intelligent systems.
Eligible candidates with a Bachelor’s or Master’s degree can apply. Details regarding eligibility, job responsibilities, and the application process are provided below.
🔹 Harman Off Campus Drive 2025 – Overview
Company Website: www.harman.com
Job Role: Junior Associate Engineer (Machine Learning)
Qualification: Bachelor’s degree in Data Science / Computer Science / Statistics / Mathematics or related fields
Experience: Freshers (0–2 years)
Batch Eligible: 2024 / 2025 / 2026
Salary: ₹6 – 9 LPA (Expected)
Work Location: Bangalore, Pune, Gurgaon, Coimbatore
Last Date to Apply: ASAP
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Job Description
Harman is seeking a highly motivated and skilled Machine Learning Engineer to join its fast-paced digital engineering teams. This role is perfect for individuals enthusiastic about developing ML algorithms, analyzing data, and deploying intelligent systems in real-world environments.
As an ML Engineer, you will work alongside experienced engineers and data scientists and contribute to building next-generation AI-driven solutions used across Harman products and services.
Key Responsibilities
As part of this role, you will:
Assist in designing, training, and implementing machine learning models and algorithms
Collaborate with product, engineering, and analytics teams to translate business requirements into ML solutions
Preprocess, clean, and analyze large datasets to derive insights
Perform feature engineering, data augmentation, and model tuning to improve accuracy
Conduct experiments to compare ML approaches and validate hypotheses
Build and optimize end-to-end ML pipelines for performance and scalability
Deploy machine learning models into production environments
Monitor model performance, address drift, and improve inference accuracy
Create clear documentation: methodologies, model workflows, and experimental results
Stay updated with new research, ML tools, and emerging AI technologies
Required Skills & Qualifications
Candidates must have:
Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
0–2 years of experience in Machine Learning / AI / Generative AI / NLP / Deep Learning
Strong understanding of ML fundamentals:
Supervised & Unsupervised Learning
Regression, Classification
Clustering techniques
Neural Networks and Deep Learning basics
Proficiency in Python
Hands-on exposure to ML and GenAI frameworks such as:
PyTorch
Keras
Scikit-learn
LangChain
LlamaIndex
ChromaDB, Qdrant, or similar vector DBs
Strong analytical, problem-solving, and critical thinking skills
Good communication skills for explaining technical concepts
Ability to work independently and in cross-functional teams
Internship or project experience in ML/Data Science
A portfolio of ML/AI projects (pet projects included)
Preferred Skills (Good to Have)
Experience with Big Data technologies: Hadoop, Spark, Hive
Knowledge of cloud platforms: AWS, Azure, or Google Cloud
Familiarity with SQL & NoSQL databases
Understanding of software development practices:
Git & version control
Agile methodology
Why Join Harman?
Work with a globally recognized leader in AI, audio, and connected technologies
Opportunity to collaborate with top-tier engineers and researchers
Exposure to real-world machine learning deployment at scale
Great platform for early-career professionals in ML/AI
Fast-paced learning environment with excellent career growth potential
How to Apply for Harman Off Campus Drive 2025?
All eligible and interested candidates can apply online using the link below:
👉 Apply Link: Click Here