ML Engineer
Capgemini
ML Engineer
Job Description
ML Engineer
📋 Job Overview
The ML Engineer role at Capgemini focuses on developing and applying engineering practices to define, configure, and deploy industrial digital technologies for ensuring digital continuity in manufacturing processes. This includes managing information flow across design, industrialization, manufacturing, and supply chain, with an emphasis on PLM and MES systems. The position requires independent problem-solving, client interaction, and sharing expertise within a team environment.
📍 Location: Pune
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and apply engineering practice and knowledge in defining, configuring, and deploying industrial digital technologies including PLM and MES
- Manage continuity of information across the engineering enterprise, including design, industrialization, manufacturing, and supply chain
- Manage manufacturing data
- Share expertise and provide guidance and support to others
- Interpret clients' needs
- Contribute in teamwork and interact with customers
✅ Required Qualifications
- Develops competency in own area of expertise
- Completes own role independently or with minimum supervision
- Identifies problems and relevant issues in straightforward situations and generates solutions
🛠️ Required Skills
- Engineering practices
- PLM (Product Lifecycle Management)
- MES (Manufacturing Execution System)
- Digital technologies for manufacturing
- Problem identification and solution generation
- Client needs interpretation
- Teamwork and customer interaction
Locations
- Pune, India
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Engineering practicesintermediate
- PLM (Product Lifecycle Management)intermediate
- MES (Manufacturing Execution System)intermediate
- Digital technologies for manufacturingintermediate
- Problem identification and solution generationintermediate
- Client needs interpretationintermediate
- Teamwork and customer interactionintermediate
Required Qualifications
- Develops competency in own area of expertise (experience)
- Completes own role independently or with minimum supervision (experience)
- Identifies problems and relevant issues in straightforward situations and generates solutions (experience)
Responsibilities
- Develop and apply engineering practice and knowledge in defining, configuring, and deploying industrial digital technologies including PLM and MES
- Manage continuity of information across the engineering enterprise, including design, industrialization, manufacturing, and supply chain
- Manage manufacturing data
- Share expertise and provide guidance and support to others
- Interpret clients' needs
- Contribute in teamwork and interact with customers
Tags & Categories
Answer 10 quick questions to check your fit for ML Engineer @ Capgemini.
Related Books and Jobs
ML Engineer
Capgemini
ML Engineer
Job Description
ML Engineer
📋 Job Overview
The ML Engineer role at Capgemini focuses on developing and applying engineering practices to define, configure, and deploy industrial digital technologies for ensuring digital continuity in manufacturing processes. This includes managing information flow across design, industrialization, manufacturing, and supply chain, with an emphasis on PLM and MES systems. The position requires independent problem-solving, client interaction, and sharing expertise within a team environment.
📍 Location: Pune
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Develop and apply engineering practice and knowledge in defining, configuring, and deploying industrial digital technologies including PLM and MES
- Manage continuity of information across the engineering enterprise, including design, industrialization, manufacturing, and supply chain
- Manage manufacturing data
- Share expertise and provide guidance and support to others
- Interpret clients' needs
- Contribute in teamwork and interact with customers
✅ Required Qualifications
- Develops competency in own area of expertise
- Completes own role independently or with minimum supervision
- Identifies problems and relevant issues in straightforward situations and generates solutions
🛠️ Required Skills
- Engineering practices
- PLM (Product Lifecycle Management)
- MES (Manufacturing Execution System)
- Digital technologies for manufacturing
- Problem identification and solution generation
- Client needs interpretation
- Teamwork and customer interaction
Locations
- Pune, India
Salary
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Engineering practicesintermediate
- PLM (Product Lifecycle Management)intermediate
- MES (Manufacturing Execution System)intermediate
- Digital technologies for manufacturingintermediate
- Problem identification and solution generationintermediate
- Client needs interpretationintermediate
- Teamwork and customer interactionintermediate
Required Qualifications
- Develops competency in own area of expertise (experience)
- Completes own role independently or with minimum supervision (experience)
- Identifies problems and relevant issues in straightforward situations and generates solutions (experience)
Responsibilities
- Develop and apply engineering practice and knowledge in defining, configuring, and deploying industrial digital technologies including PLM and MES
- Manage continuity of information across the engineering enterprise, including design, industrialization, manufacturing, and supply chain
- Manage manufacturing data
- Share expertise and provide guidance and support to others
- Interpret clients' needs
- Contribute in teamwork and interact with customers
Tags & Categories
Answer 10 quick questions to check your fit for ML Engineer @ Capgemini.
Related Books and Jobs