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Explore Exciting Fresher & Experienced Roles at Harman

Explore Exciting Fresher & Experienced Roles at Harman

About the company

HARMAN is a company that designs and engineers connected products and solutions for automakers, consumers, and enterprises, with a portfolio that includes audio brands like JBL and Harman Kardon. It is a wholly-owned subsidiary of Samsung Electronics and a major player in automotive technology, lifestyle audio, and digital transformation services. The company has a global presence with its headquarters in Stamford, Connecticut, and a significant workforce across the Americas, Europe, and Asia

For more info: 🔗 Visit Official Harman Website

Do check below for Exciting Internships, Fresher & Experienced Roles at Harman

💼  Associate Engineer – AWS Devops —  Bangalore ((NEW))

 

Harman is hiring an Associate Engineer  for the Bangalore location. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

  • Qualification: BE / B.Tech degree in Computer Science, Information Technology, or related disciplines.
  • Experience:   0 - 1 Years
  • Skills: Strong problem-solving and analytical skills.

Responsibilities:

  • Assist in building, maintaining, and improving CI/CD pipelines using GitLab CI and Jenkins.
  • Support automation of build, test, and deployment workflows.
  • Work with Docker to containerize applications and services.
  • Support deployment and basic operations on Kubernetes (K8s) environments.
  • Help monitor CI/CD pipeline executions and troubleshoot pipeline failures.
  • Collaborate with development and QA teams to streamline the software delivery lifecycle.
  • Learn and follow best practices for DevOps, automation, and infrastructure management.
  • Participate in Agile ceremonies and continuous improvement initiatives.

Required Skills:

  • Basic understanding of CI/CD concepts and pipelines.
  • Exposure to GitLab CI and/or Jenkins pipelines.
  • Hands-on or academic experience with Docker.
  • Basic knowledge of Kubernetes (K8s) concepts such as pods, services, and deployments.
  • Familiarity with Linux fundamentals.
  • Basic scripting knowledge (Python or Shell is a plus).
  • Strong willingness to learn and adapt to new tools and technologies.

What makes you eligible: 

  • 0 to 1 year of experience, including internships, academic projects, or hands-on labs.
  • Degree in Computer Science, Information Technology, or related disciplines.
  • Strong problem-solving and analytical skills.
  • Good communication and teamwork abilities.
  • Positive attitude, self‑motivation, and eagerness to build a career in DevOps and Cloud engineering.

Stipend: ₹5LPA – 6LPA (Glassdoor)

Apply Now

💼  Intern —  Pune  ((NEW))

 

Harman is hiring an Intern for the Pune location. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

  • Qualification: BE / B.Tech / MBA or equivalent (Engineering, Management, Finance or related disciplines preferred)
  • Experience:   0 - 2 Years
  • Skills: Good analytical, organisational, and problem-solving skills

Responsibilities:

  • Support Customer Program Management (CPM) activities across multiple OEM programs (TATA, Mahindra, MSIL)
  • Assist with budget and demand tracking, including demand planning, demand shifts, and CAPEX tracking
  • Track timesheets and FTE hour bookings for Program Managers across OEMs and cost centres
  • Support CY budget planning activities, including SDS uploads and preparation of EPUT files
  • Assist with yearly budget planning and related data consolidation
  • Coordinate with cross-functional teams to collect program updates on milestones, risks, issues, and action items
  • Support the creation, maintenance, and improvement of trackers, dashboards, and executive reports using Excel and Power BI
  • Ensure timely updates, data accuracy, and adherence to reporting timelines
  • Follow organisational policies, quality standards, and documentation hygiene on Confluence

Required Skills:

  • Currently pursuing or recently completed BE / B.Tech / MBA or equivalent (Engineering, Management, Finance or related disciplines preferred)
  • Good understanding of program / project management fundamentals
  • Strong Excel skills (data tracking, consolidation, basic dashboards)
  • Ability to work with multiple stakeholders and teams
  • Good analytical, organisational, and problem-solving skills
  • High attention to detail and ability to manage recurring and time-sensitive tasks
  • Proactive attitude with willingness to learn and take ownership
  • Strong written and verbal communication skills
  • Ability to follow structured processes and work in a team environment

Preferred Skills and Qualifications:

  • Hands-on experience through academic projects, internships, or coursework involving data tracking, reporting, or coordination
  • Willingness to take initiative and deliver quality results within defined timelines
  • Ability to manage parallel tasks across multiple programs

Stipend: ₹14K ₹30K/mo (Glassdoor)

Apply Now

💼  ML Engineer  — Bangalore / Pune / Gurgaon / Coimbatore  ((NEW))

 

Harman is hiring an ML Engineer for the Multiple locations. Please read the complete information carefully and apply if you are eligible.

Eligibility Criteria :

  • Qualification: Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • Experience:   0 - 2 Years
  • Skills: Machine Learning, Generative AI, Deep Learning, Natural Language processing.

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:

  • 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.

Stipend: ₹ 7 LPA to 20 LPA (Glassdoor)

Apply Now

⚠️ Note: If the link is expired, the opportunity is closed or disabled by the company. Check for other opportunities.

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