Volvo Recruitment 2026
Volvo
LocationBangalore, Karnataka
QualificationB.E/B.Tech
Key Responsibilities
- Collect and understand relevant battery testing datasets.
- Identify important battery-test parameters, signals, and KPIs.
- Analyze raw, structured, and semi-structured engineering data.
- Develop scripts and workflows for engineering data analysis.
- Build prototype tools that support data analysis and investigation.
- Support the implementation of AI-based logic for test-result verification.
- Support rule-based approaches for validating engineering test results.
- Test the AI assistant using representative battery test cases.
- Compare AI-supported outputs against expected engineering results.
- Validate the accuracy and usefulness of analytical outputs.
- Identify trends, anomalies, and unusual behavior in battery test data.
- Identify opportunities to improve the usability of the AI assistant.
- Support improvements in robustness and scalability.
- Collaborate with battery engineers and data specialists.
- Work with software teams to develop and improve analytical solutions.
- Document analysis, findings, workflows, and recommendations.
- Contribute to improving engineering investigation and reporting processes.
- Support the extension of the solution to other systems and components.
Skills & Eligibility
- Education: B.E/B.Tech qualification.
- Program: The opportunity is part of Volvo Group India’s ExcelHer career returnship program.
- Career Break: The program is designed for individuals who have taken a career break of one year or more.
- Data Analysis: Basic understanding of data analysis and engineering datasets.
- Programming: Python or a similar programming language.
- AI/ML: Interest in artificial intelligence, machine learning, or intelligent assistants.
- Data Formats: Ability to work with raw, structured, and semi-structured data.
- Problem Solving: Strong analytical and problem-solving mindset.
- Engineering Interest: Willingness to learn new engineering domains.
- Communication: Good communication skills.
- Documentation: Ability to document analytical work, findings, and recommendations clearly.
- Collaboration: Ability to work with engineering, data, and software teams.
- 💡 Pro Tip: AI and machine learning are central to this role. To strengthen your practical AI skills before applying, check out The AI Engineer Course 2025.
- Python is explicitly mentioned as a desired programming skill.
- Candidates should be comfortable with basic Python programming and ideally have some exposure to data analysis libraries.
- Important topics to revise include:
- Python syntax and data types
- Lists, dictionaries, tuples, and sets
- Loops and conditional logic
- File handling
- Exception handling
- Object-oriented programming basics
- JSON and structured data
- NumPy basics
- pandas basics
- Data cleaning
- Data filtering and transformation
- Candidates should be able to write a small script that reads a dataset, cleans it, extracts useful information, and produces an analytical output.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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