Automation Engineer – Engineering Applications, AI/ML

Expleo Group

Automotive engineer developing AI/ML solutions for autonomous vehicles and digitalisation at Expleo. Contributing to performance optimization and sustainability in the automotive sector.

Posted 7/2/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML application development, including Python programming, Scikit-Learn, TensorFlow, and Power BI for data visualization. Proven ability to lead digital transformation initiatives in engineering and manufacturing through innovative AI-driven solutions.

Highest-signal resume keywords

Python ProgrammingAI/ML Application DevelopmentPower BI Dashboard DevelopmentGenerative AI and LLMsAzure Machine Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNatural Language ProcessingAPI DevelopmentSystem IntegrationData VisualizationPredictive DashboardsDocument IntelligenceEngineering Workflow AutomationSimulation Optimization

Tools & Technologies

Scikit-LearnTensorFlowPyTorchAzure AI ServicesAzure OpenAIGitCI/CD PipelinesMLOps

Industry Keywords

Automotive EngineeringManufacturing EngineeringIndustrial EngineeringDigital TransformationEngineering Datasets

Tech Stack

Tools & technologies

AzurePythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Engineering Graduate
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.

Benefits

Comp & perks

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.