Wilson Garden Bengaluru Karnataka Apprentice mechanic Jobs – 2 Open Jobs Today

Graduate Apprentice Trainee
Volvo Group —Bengaluru, Karnataka
- SQL
- Bachelor's degree
- Machine learning
Chief Architect - Corporate Domains
Société Générale —Bengaluru, Karnataka
- Azure
- English
- Java

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Chief Architect - Corporate Domains
Société Générale —Bengaluru, Karnataka
They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible…
Senior Staff Data Scientist
GE HEALTHCARE —Bengaluru, Karnataka
Enterprise Solution Delivery: Architect and implement AI/ML solutions that operate at scale, supporting GE HealthCare’s strategic priorities and Big Bets.
23h

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Graduate Apprentice Trainee

Volvo Group -
Bengaluru, Karnataka

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Job details

Qualifications

Mechanical engineering
Power BI
NumPy
Mechanical Engineering
Tableau
SQL
Pandas
Bachelor's degree
Machine learning
Automotive engineering
Predictive analytics
B.E.
Data science
Python

Full job description

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.

We value your data privacy and therefore do not accept applications via mail.

Who we are and what we believe in

We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.

Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.

Trucks Technology & Industrial Division hire team players who are ready to create real customer impact. Our decentralized teams work close to our customers, with speed and autonomy, to build what they truly need.
Join us to collaborate on innovative, sustainable technologies that redefine how we design, build, and deliver value. Bring your curiosity, your expertise, and your collaborative energy, and together, we’ll turn bold ideas into tangible solutions for our customers and contribute to a more sustainable tomorrow.

About Volvo Group:

At Volvo Group, we are driving prosperity through transport and infrastructure solutions, shaping the future of sustainable mobility. As part of our commitment to nurturing young talent, we invite fresh engineering graduates to join us under the National Apprenticeship Training Scheme (NATS). This is an excellent opportunity to gain hands-on industry experience and work alongside experts on real-world projects

Eligibility Criteria

Education: B.Tech / B.E. in Automobile Engineering or Mechanical Engineering

Year of Graduation: 2023, 2024, or 2025/2026

Program: National Apprenticeship Training Scheme (NATS) .

Key Skills & Knowledge Areas:

Strong fundamentals in Strength of Materials and Solid Mechanics.

Knowledge of CAE Tools such as ANSA, Hypermesh, Nastran

Intermediate Knowledge of tools like Python, SQL and Data Analysis Techniques.

Exposure to Data Science & AIML would be an added advantage.

Statistical methods for engineering applications

Passion for CAE, simulation, and engineering analytics.

Interest in combining mechanical engineering with data driven decision making.

Understanding of meshing, model setup, load application, boundary conditions, and result interpretation would be added advantage

Roles & Responsibilities:

Automate CAE workflows and simulation data processing using Python, SQL, Pandas, and NumPy to improve engineering efficiency.

Analyze simulation and historical data to identify trends and enhance predictive durability methodologies.

Develop dashboards and visualizations using Power BI, Tableau, Matplotlib, and Excel for engineering insights and decision making.

Apply statistical analysis, predictive modelling, and basic machine learning techniques to improve durability prediction accuracy.

Program Duration: As per NATS guidelines

Apply Now

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Graduate Apprentice Trainee

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