3D Techpub Publication
Job Description
About the Job
Your Role
In this role, you will
- Looking for well experienced Parts & 3D Technical Publications Specialist to develop and maintain Illustrated Parts Catalogs (IPC), Parts Manuals, Spare Parts Documentation, and Interactive 3D Technical Publications for automotive industry.
- Create detailed parts identification and parts provisioning information.
- Ensure parts data accuracy, interchangeability information, and configuration applicability.
- Manage documentation updates resulting from engineering changes and field feedback.
Your Profile
- Develop and publish interactive 3D technical content for maintenance, parts identification, and service applications.
- Generate exploded views, assembly/disassembly sequences, and interactive product visualizations.
- Support creation of digital work instructions and visualization-based technical content.
- Collaborate with engineering teams to transform CAD data into customer-facing technical publications.
- Proven experience developing: Illustrated Parts Catalogs (IPC), Spare Parts Manuals, Component Catalogs, Interactive 3D Publications
- Hands-on experience with one or more of Technical Publication tools: Arbortext Editor, Adobe FrameMaker, Creo Illustrate, IsoDraw
- 3D Visualization Tools : Creo Illustrate,CATIA Composer or SolidWorks Composer,Cortona3D
What You’ll Love About Working Here
We value flexibility and support our employees with hybrid work options and adaptable schedules to maintain a healthy work-life balance. Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence. You’ll have access to continuous learning opportunities and certifications in emerging technologies like cloud and AI.
About Us
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries.
Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transformation to address the evolving needs of customers and citizens. With a strong heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations. Through its global workforce and commitment to innovation, Capgemini enables organizations to achieve sustainable and inclusive growth through technology
Connectivity & Network Engineer
Job Description
This role involves the development and application of engineering practice and knowledge in the following technologies: Standards and protocols, application software and embedded software for wireless and satellite networks, fixed networks and enterprise networks; connected devices (IOT and device engineering), connected applications (5G/ edge, B2X apps); and Telco Cloud, Automation and Edge Compute platforms. This role also involves the integration of network systems and their operations, related to the above technologies.
Job Description – Grade Specific
Focus on Connectivity and Network Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.
Senior Data Scientist
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your Role
- Lead the design, development, and implementation of ML/NLP models for various business use cases. Analyze and preprocess data, ensuring quality and security compliance.
- Collaborate with stakeholders to understand requirements and deliver scalable solutions. Drive ML asset creation and contribute to knowledge sharing within the team.
- Oversee deployment of models using ML pipelines and advanced MLOps practices on cloud or on-premises environments.
- Stay updated with industry trends and propose innovative AI/ML solutions, including Generative AI and LLM-based applications
Your Profile
- Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn), SQL.Databases: RDBMS (MySQL, Oracle), NoSQL (MongoDB, Cassandra)
- ML/DL Frameworks: Scikit-learn, TensorFlow, PyTorch. Big Data Frameworks: Spark (Spark-ML), H2O
- Cloud Platforms: Azure/AWS/GCP.Visualization Tools: Tableau, Power BI.Gen AI & LLMs: Familiarity with OpenAI GPT, LLaMA, or similar models; experience with LangChain or similar frameworks for RAG.
- Predictive modeling using regression, classification, and ensemble methods. Advanced experience with deep learning (CNN, RNN, LSTM) and NLP techniques (sentiment analysis, text classification, entity recognition).
- Familiarity with clustering, dimensionality reduction, and recommendation systems. Exposure to OCR, speech recognition, or computer vision is a plus. Strong understanding of model deployment and MLOps concepts. Hands-on experience with Generative AI concepts and building LLM-based applications. Understanding of RAG pipelines and vector databases.
What you will love about working here
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Lead Data Scientist
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your Role
- Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, SeaborneDatabases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.)ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, Big data ML Frameworks – Spark (Spark-ML, Graph-X), H2O.Cloud – Azure/AWS/GCP.
- Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus.
- Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral.
- NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications.
Your Profile
Graph Analytics – Familiarity with Graph Algorithms (Directed & Undirected) – Traversal (BFS, DFS), Cycle Detection (Bellman Ford, Flyod Warshall), Shortest Path (Dijkstra, A*) etc. Building Knowledge Graphs with unstructured data and knowledge graph optimizations like PageRank/TrustRank is expected
Mathematical Optimization – Familiarity with common optimization algorithms, both discrete– Linear, Mixed-Integer, Goal, Dynamic etc and continuous – GD and its variants, Newton’s method etc. is expected. Experience with Simulated Annealing and exposure to ML inspired evolutionary optimization algorithms like Genetic Algorithm & Genetic Programming for optimization is a plus.
Simulations – Monte Carlo Simulation, Discrete-Event Simulation, Agent-Based Simulation, Hybrid Simulation, System Dynamics, Genetic Algorithm based Simulation.
Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud.
What you will love about working here
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Associate Supply Planner
Job Description
Suuply Planner ensure supply of products aligns with demand forecasts by creating supply plans, coordinating with production teams, and optimizing the supply chain to meet customer needs
Job Description – Grade Specific
Key responsibilities encompass:Technical Excellence: Supply planner tools – Kinaxis and Anaplan Forecast demands and ensure supply meets these demands. Manage stock levels and make key decisions about stock control. Coordinate with manufacturers, suppliers, distributors, and customers. Develop and implement supply chain strategies to increase efficiency and productivity.
Procurement Solution Architect
Job Description
The Procurement Solution Architect is responsible for designing and scaling next-generation Procurement transformation solutions for strategic global clients delivered from India.
Responsibilities: –
- Design end-to-end Procurement transformation solutions across:Source-to-Contract (S2C), Procure-to-Pay (P2P), Supplier Management, Procurement Operations, Shared Services / GBS models
- Develop scalable operating models leveraging India-based delivery capabilities
- Support transformation assessments, roadmap definition, and future-state operating models
- Translate client challenges into practical and scalable solutions
- Support the evolution toward AI-first Procurement operations by integrating: Automation, Analytics, AI-enabled workflows, Orchestration platforms and/or Procurement technologies.
- Support standardization and optimization of Procurement delivery models
- Identify automation and efficiency opportunities across engagements
- Drive scalable and efficient operational models
- Support continuous improvement initiatives
Primary Skills
14+ years of experience in:
- Procurement transformation
- Procurement consulting
- Shared services / GBS
- Procurement operations
- Procurement technology ecosystems
Preferred exposure to: Manufacturing / Industrial sectors and SAP / Ariba / Coupa ecosystems.
Senior Data Scientist
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.
Your Role
- Develop and implement ML/NLP models for various business use cases. Analyze and preprocess data, ensuring quality and security compliance. Collaborate with stakeholders to understand requirements and deliver solutions.
- Support ML asset creation and contribute to knowledge sharing within the team. Assist in deploying models using ML pipelines and MLOps practices on cloud or on-premises environments. Stay updated with industry trends and propose innovative AI/ML solutions.
-
Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn), SQL.Databases: RDBMS (MySQL, Oracle), NoSQL (MongoDB, Cassandra)
-
ML/DL Frameworks: Scikit-learn, TensorFlow, PyTorch. Big Data Frameworks: Spark (Spark-ML), H2O (basic exposure. Cloud Platforms: Azure/AWS/GCP (basic experience)
-
.Visualization Tools: Tableau, Power BI.Gen AI & LLMs: Familiarity with OpenAI GPT, LLaMA, or similar models; experience with LangChain or similar frameworks for RAG
Your Profile
- Predictive modeling using regression, classification, and ensemble methods. Basic experience with deep learning (CNN, RNN, LSTM) and NLP techniques (sentiment analysis, text classification).
- Familiarity with clustering, dimensionality reduction, and recommendation systems. Exposure to OCR, speech recognition, or computer vision is a plus.
- Understanding of model deployment and MLOps concepts. Exposure to Generative AI concepts and building LLM-based applications. Understanding of RAG pipelines and vector databases.
What you will love about working here
- We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Agentic AI with GCP
Your Role
We are looking for an Agentic AI Developer to design and implement intelligent, autonomous systems that can reason, plan, and execute complex workflows. The role focuses on building AI agents integrated with enterprise systems using GCP.
Your Profile
- Python
- Agentic AI / AI Agents
- LLMs & Prompt Engineering
- GCP (Vertex AI, Cloud Run, Workflows)
- Agent Frameworks (LangChain/LangGraph/CrewAI)
- Enterprise API Integration
- Responsible AI & Evaluation
What you’ll love about working here
We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. ( Footer )
Senior Engineer / Technical Lead Cockpit-Interior Trim and Lighting components
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
This role involves the development and application of engineering practice and knowledge in the following technologies: Design of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation.
Job Description – Grade Specific
Focus on Mechanical and Physical Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Sub System Technical Lead – Interior Restraints
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Job Description
This role involves the development and application of engineering practice and knowledge in the following technologies: Design of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation.
Job Description – Grade Specific
Focus on Mechanical and Physical Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.