Automation – Engineering Applications (AI/ML)

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 Purpose of the Role

• Responsible for identifying, developing and deploying AI/ML, Generative AI and Data Analytics solutions for Vehicle Program Engineering (VPE), Manufacturing and Quality functions.
• Lead the planning, execution and implementation of AI-driven engineering applications including Document Intelligence, Design Validation, Engineering Workflow Automation and Simulation Optimization.
• Study emerging AI technologies, evaluate engineering use cases and drive digital transformation initiatives across engineering and manufacturing operations.
• Develop, Support intelligent KPI generation, predictive dashboards, and conversational analytics through various automations includings Power BI Key Job Responsibilities Develop and implement AI/ML solutions for engineering and manufacturing applications. Execute AI projects based on engineering requirements and business priorities. Develop Machine Learning, Deep Learning and NLP models using Python. Build Document Intelligence solutions for engineering specifications and technical documents. Develop Design Validation and Rule-Based Automation solutions. Create Generative & Agentic AI applications using LLMs, Prompt Engineering and RAG frameworks. Deploy AI solutions using Azure AI Services, Azure ML and Azure OpenAI. Develop APIs and integrate AI applications with engineering systems. Build Power BI dashboards for engineering analytics and KPI monitoring. Support simulation-driven optimization and predictive analytics initiatives. Collaborate with Engineering, Manufacturing, Quality and IT teams for AI adoption. Develop reusable AI frameworks and best practices. Integrate AI-generated insights into Power BI dashboards and enterprise analytics platforms. Conduct knowledge-sharing sessions and mentor internal teams.

Qualifications Engineering Graduate

Essential Skills Key Skills Hands-on experience in Python programming and AI/ML application development. Hands-on experience in Scikit-Learn, TensorFlow or PyTorch frameworks. Experience in Power BI & Related activities Experience in Machine Learning, Deep Learning and NLP. Experience in Generative AI, LLMs, Prompt Engineering and RAG applications, chatbot applications Experience in Azure AI Services, Azure Machine Learning and Azure OpenAI. Experience in API development and system integration. Hands-on experience in Power BI dashboard development and data visualization. Experience in Git, CI/CD pipelines and MLOps practices. Experience in handling structured and unstructured engineering datasets. Experience in automotive, manufacturing or industrial engineering applications is preferred. Software skills Python, Scikit-Learn, TensorFlow & PyTorch Azure AI Services, Azure ML & Azure OpenAI Power BI, SQL & Data Analytics Tools LangChain, LlamaIndex & Generative AI Frameworks Power BI, SQL & Data Analytics Tools,Git, Azure DevOps, Docker & Mlflow

Desired Skills Behavioural Skills Strong analytical and problem-solving skills Ability to work independently and in cross-functional teams Effective communication and stakeholder management skills Ability to manage multiple AI projects and priorities Continuous learning mindset and adaptability to emerging technologies Project planning and execution skills

Experience 3-6 years

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.