Harman Off Campus Drive | Bangalore and Gurgaon |Apply Online

Harman Off Campus 2025:

Harman Career 2025 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.

Harman off campus Eligibility Criteria:

• 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.

Preferred skill:

• 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).

Click here for HR Interview Questions and Answers

Harman Recruitment Selection Process:

The Harman selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through the official careers website
2. Resume Screening: The Company’s recruitment team reviews the applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews.
5. Offer: Candidates who successfully complete all interview stages and reference checks will receive a formal job offer.
6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join Harman?

• Work-life balance: Competitive pay, comprehensive benefits, and flexible work schedules
• Professional development: Job training, conferences, and opportunities for career advancement
• Financial and retirement: 401(k) and performance bonuses
• Child care and parental leave: Adoption assistance
• Office perks: Company-sponsored outings
• Health insurance and wellness: Dental insurance
• Vacation and time off: Paid volunteer time