Overview

As an Automotive engineer, you will be part of the team who are transforming the future of mobility industry by developing solutions for autonomous vehicles, electric mobility, and digitalisation. Join us to help the global automotive giants to optimise performance and sustainability through continuous innovation. You will have the opportunity to work on projects that integrate the latest technologies to enhance vehicle safety, efficiency, and environmental impact.

Make a direct impact on creating safer, smarter, and greener transportation solutions that will define the automotive industry of tomorrow.

Expleo is the home of bold and reliable minds. With more than 50 years of experience in developing complex products, optimising manufacturing processes, and ensuring the quality of information systems, Expleo boasts an extensive global footprint, powered by 19,000 highly skilled experts delivering value in 30 countries.

Our efforts in creating a supportive and inclusive workplace in India have earned us some key recognitions:

• 'Great Place to Work' certification for building a supportive, engaging environment.
• 'Progressive Place to Work,' by ET Now, for our dedication to innovation and inclusive workplace policies.
• 'Best Organizations for Women,' by ET Now, for empowering women by providing equal opportunities, supporting professional development and promoting inclusive leadership.

Responsibilities

RELEVANT EXPERIENCE:

2-5 years hand on experience in in Data Analysis and Machine Learning.

Proficiency in Python and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).

Familiarity with SQL and database management.

Support to build data infrastructure by Establishing the systems required to collect, store, process, and visualize plant data.

Connecting machines, PLCs, sensors, MES, ERP, quality systems, and manual data sources into a common platform.

Creating & Developing data pipelines for automatic data transfer and integration. Ensuring data security, backup, access control.

Excellent problem-solving skills and attention to detail.

Ability to work independently and as part of a team.

Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Basic operations on MS office ( Excel, PowerPoint & Word )

(Diploma holders need 3 to 6 years with same experience as above.)

Qualifications

BE (Mechanical / Automobile) or Equivalent degree or DME (Mechanical / Automobile) or Equivalent

( Computer Science, Data Science, Statistics )

Essential skills

RELEVANT EXPERIENCE:

2-5 years hand on experience in in Data Analysis and Machine Learning.

Proficiency in Python and relevant libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch).

Strong understanding of statistical analysis and machine learning algorithms.

Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).

Familiarity with SQL and database management.

Support to build data infrastructure by Establishing the systems required to collect, store, process, and visualize plant data.

Connecting machines, PLCs, sensors, MES, ERP, quality systems, and manual data sources into a common platform.

Creating & Developing data pipelines for automatic data transfer and integration. Ensuring data security, backup, access control.

Excellent problem-solving skills and attention to detail.

Ability to work independently and as part of a team.

Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Basic operations on MS office ( Excel, PowerPoint & Word )

(Diploma holders need 3 to 6 years with same experience as above.)

Desired skills

Attitude to learn & deploy, ability to communicate to different stake holders

Experience

2-5 years ( but based on CTC, we can decide), agreed with client

Benefits

• Collaborative working environment – We stand shoulder to shoulder with our clients and our peers, developing solutions that create a sustainable today and tomorrow.
• Continuous learning - Our Learning & Leadership Development team has established a world-class learning ecosystem that enables you to acquire and develop the right skills by delivering a suite of accredited training courses.
• Global organisation - We provide solutions to leading brands from various sectors, giving you the opportunity to work with top-tier companies providing impactful solutions to our customers’ customers.