Apply for Machine Learning Engineer role at HARMAN – Freshers eligible, multiple locations, full-time position with cutting-edge AI/ML projects. Top perks & growth 2025!
Table of Contents
💼 Job Role & Category:
- Role: Machine Learning Engineer
- Category: Full-Time, Onsite
🏢 Why Join HARMAN?
HARMAN has been revolutionizing the audio and technology landscape since the 1920s, evolving from a pioneer in sound amplification to a global leader in connected technologies. Today, HARMAN creates integrated technology platforms across automotive, lifestyle, and digital transformation solutions that make the world smarter, safer, and more connected. With a portfolio of 16 iconic brands including JBL, Mark Levinson, and Revel, HARMAN’s innovations can be found everywhere from luxury vehicles to world-class concert venues.
The company is renowned for its commitment to innovation and excellence, maintaining the highest engineering and design standards in the industry. HARMAN fosters a culture where every employee is welcomed, valued, and empowered to share their unique perspective. With a strong emphasis on continuous learning and development, HARMAN provides extensive opportunities for training and career advancement, making it an ideal workplace for tech professionals looking to make a lasting impact in the AI/ML space.
📝 Job Summary
This Machine Learning Engineer role at HARMAN is perfect for passionate individuals with 0-2 years of experience who want to dive deep into machine learning, data science, and artificial intelligence. You’ll work alongside experienced engineers and data scientists to develop, implement, and improve cutting-edge machine learning models and algorithms that directly impact HARMAN’s innovative products and services. This position offers tremendous growth potential in one of the world’s leading technology companies.
🔧 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
✅ Who Can Apply?
Required Qualifications:
- 🎓 Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 💼 Experience: 0-2 years in machine learning, Generative AI, Deep Learning, Natural Language Processing
- 💡 Technical Skills:
- Strong fundamental knowledge of statistical modeling, machine learning, and data mining techniques
- Proficiency in Python programming
- Experience with opensource ML/AI stack (pytorch, keras, scikit-learn, langchain, llamaIndex, chromaDB, qdrant)
- Excellent problem-solving and critical thinking abilities
- 🗣️ Soft Skills: Strong communication and presentation skills for both technical and non-technical audiences
- 📁 Portfolio: Project portfolio with multiple real-life projects (pet projects welcome)
Preferred Qualifications:
- Experience with big data tools (Hadoop, Spark, Hive)
- Cloud platform experience (AWS, Azure, Google Cloud Platform)
- Familiarity with SQL and NoSQL databases
- Understanding of software development best practices including Git and Agile methodologies
🌍 Work Location & Type
- Locations: Bangalore, Pune, Gurgaon, Coimbatore (India)
- Work Type: Onsite (Full-Time)
- Additional Options: Not specified in job description
💰 Salary Insights
Based on current industry standards for Machine Learning Engineers with 0-2 years of experience at global technology companies like HARMAN:
- Expected Salary Range: ₹6-12 LPA for entry-level positions
- Performance-Based Pay: Additional bonuses based on individual and team performance
- Growth Potential: Rapid salary progression with experience and skill development
- Location Factor: Salary varies by city (Bangalore typically offers highest packages)
Note: Actual compensation depends on experience, skills, and interview performance
🎁 Perks & Benefits
- 🏥 Comprehensive Health Insurance – Medical coverage for employees and family
- 📚 Continuous Learning Programs – Access to training, development, and continuing education opportunities
- 🎵 Employee Discounts – Special pricing on HARMAN’s portfolio of 16 iconic brands including JBL
- 💸 Performance Bonuses – Reward system for exceptional contributions
- 🌍 Global Exposure – Opportunity to work with international teams and cutting-edge technology
- 🏢 Inclusive Culture – Support-minded environment that celebrates diversity
- 🚀 Career Growth – Clear progression paths in a rapidly growing AI/ML division
📝 How to Apply
📢 How to Apply for HARMAN Machine Learning Engineer Recruitment 2025:
- ✅ Click on the “Apply” button below
- 📧 Register/Login to HARMAN’s official career portal
- 📄 Fill in all required personal and professional details
- 📎 Upload your updated resume and project portfolio
- 🔍 Review all information carefully for accuracy
- 🚀 Submit your application and await confirmation
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❓ Frequently Asked Questions (FAQs)
Q1: Is this position open to freshers?
Yes! This role welcomes candidates with 0-2 years of experience, making it perfect for recent graduates with relevant skills and project experience.
Q2: What is the selection process for this role?
The typical process includes: Online application → Resume screening → Technical assessment → Technical interview rounds → HR discussion → Offer letter
Q3: Are internships counted as experience?
Yes, internship or project experience related to machine learning or data science is valued and considered relevant experience.
Q4: Can I apply if I’m from a non-CS background?
Yes, candidates with degrees in Data Science, Statistics, Mathematics, or related fields are eligible if they have the required technical skills.
Q5: Is there any last date to apply?
Not specified in job description. However, we recommend applying as soon as possible as positions may fill quickly.