AI/ML - Automotive Expert
Capgemini
AI/ML - Automotive Expert
Job Description
AI/ML - Automotive Expert
📋 Job Overview
The AI/ML - Automotive Expert role at Capgemini involves developing and optimizing on-device ML/AI products for automotive applications, focusing on embedded systems and real-time constraints. The position requires expertise in machine learning algorithms, computer vision, and sensor fusion to build features like autonomous driving and predictive maintenance. As a software engineer, you will collaborate with teams to research, design, and maintain software solutions in regulated environments.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Applies scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development, and maintenance
- Exercises original thought and judgement and supervises the technical and administrative work of other software engineers
- Builds skills and expertise in software engineering discipline to reach standard expectations
- Collaborates and acts as a team player with other software engineers and stakeholders
- Works to direction with minimal supervision, producing accurate and reliable results
- Organises own time to deliver against tasks set by others with a mid-term horizon
- Works co-operatively with others to achieve team goals and impacts project performance
✅ Required Qualifications
- 8-12 years of experience in software engineering
- 3-4 years of experience in ML/AI
- Proven track record in building and shipping on-device ML/AI products
- Experience with embedded systems, data structures/algorithms, and automotive-specific challenges (e.g., real-time constraints, power efficiency)
- Experience with AI/ML in automotive contexts such as ADAS, robotics, or sensor fusion
- Knowledge of testing, maintaining, and launching software in regulated environments
- More than a year of relevant work experience
- Solid understanding of programming concepts, software design, and software development principles
🛠️ Required Skills
- Python
- Java/Kotlin
- Base C++
- ML libraries (TensorFlow, PyTorch, scikit-learn)
- Automotive protocols (CAN bus, VHAL - Vehicle HAL)
- Machine Learning (ML) algorithms
- Computer Vision
- Deep Learning
- Sensor Fusion
- Reinforcement Learning
- NLP
- Problem-solving skills
- Handling ambiguous problems
- Influencing cross-team decisions
- Embedded systems
- Data structures/algorithms
- Real-time constraints
- Power efficiency
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
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
- Pythonintermediate
- Java/Kotlinintermediate
- Base C++intermediate
- ML libraries (TensorFlow, PyTorch, scikit-learn)intermediate
- Automotive protocols (CAN bus, VHAL - Vehicle HAL)intermediate
- Machine Learning (ML) algorithmsintermediate
- Computer Visionintermediate
- Deep Learningintermediate
- Sensor Fusionintermediate
- Reinforcement Learningintermediate
- NLPintermediate
- Problem-solving skillsintermediate
- Handling ambiguous problemsintermediate
- Influencing cross-team decisionsintermediate
- Embedded systemsintermediate
- Data structures/algorithmsintermediate
- Real-time constraintsintermediate
- Power efficiencyintermediate
Required Qualifications
- 8-12 years of experience in software engineering (experience)
- 3-4 years of experience in ML/AI (experience)
- Proven track record in building and shipping on-device ML/AI products (experience)
- Experience with embedded systems, data structures/algorithms, and automotive-specific challenges (e.g., real-time constraints, power efficiency) (experience)
- Experience with AI/ML in automotive contexts such as ADAS, robotics, or sensor fusion (experience)
- Knowledge of testing, maintaining, and launching software in regulated environments (experience)
- More than a year of relevant work experience (experience)
- Solid understanding of programming concepts, software design, and software development principles (experience)
Responsibilities
- Applies scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development, and maintenance
- Exercises original thought and judgement and supervises the technical and administrative work of other software engineers
- Builds skills and expertise in software engineering discipline to reach standard expectations
- Collaborates and acts as a team player with other software engineers and stakeholders
- Works to direction with minimal supervision, producing accurate and reliable results
- Organises own time to deliver against tasks set by others with a mid-term horizon
- Works co-operatively with others to achieve team goals and impacts project performance
Tags & Categories
Answer 10 quick questions to check your fit for AI/ML - Automotive Expert @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
AI/ML - Automotive Expert
Capgemini
AI/ML - Automotive Expert
Job Description
AI/ML - Automotive Expert
📋 Job Overview
The AI/ML - Automotive Expert role at Capgemini involves developing and optimizing on-device ML/AI products for automotive applications, focusing on embedded systems and real-time constraints. The position requires expertise in machine learning algorithms, computer vision, and sensor fusion to build features like autonomous driving and predictive maintenance. As a software engineer, you will collaborate with teams to research, design, and maintain software solutions in regulated environments.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Engineering and RandD Services
🎯 Key Responsibilities
- Applies scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development, and maintenance
- Exercises original thought and judgement and supervises the technical and administrative work of other software engineers
- Builds skills and expertise in software engineering discipline to reach standard expectations
- Collaborates and acts as a team player with other software engineers and stakeholders
- Works to direction with minimal supervision, producing accurate and reliable results
- Organises own time to deliver against tasks set by others with a mid-term horizon
- Works co-operatively with others to achieve team goals and impacts project performance
✅ Required Qualifications
- 8-12 years of experience in software engineering
- 3-4 years of experience in ML/AI
- Proven track record in building and shipping on-device ML/AI products
- Experience with embedded systems, data structures/algorithms, and automotive-specific challenges (e.g., real-time constraints, power efficiency)
- Experience with AI/ML in automotive contexts such as ADAS, robotics, or sensor fusion
- Knowledge of testing, maintaining, and launching software in regulated environments
- More than a year of relevant work experience
- Solid understanding of programming concepts, software design, and software development principles
🛠️ Required Skills
- Python
- Java/Kotlin
- Base C++
- ML libraries (TensorFlow, PyTorch, scikit-learn)
- Automotive protocols (CAN bus, VHAL - Vehicle HAL)
- Machine Learning (ML) algorithms
- Computer Vision
- Deep Learning
- Sensor Fusion
- Reinforcement Learning
- NLP
- Problem-solving skills
- Handling ambiguous problems
- Influencing cross-team decisions
- Embedded systems
- Data structures/algorithms
- Real-time constraints
- Power efficiency
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
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
- Pythonintermediate
- Java/Kotlinintermediate
- Base C++intermediate
- ML libraries (TensorFlow, PyTorch, scikit-learn)intermediate
- Automotive protocols (CAN bus, VHAL - Vehicle HAL)intermediate
- Machine Learning (ML) algorithmsintermediate
- Computer Visionintermediate
- Deep Learningintermediate
- Sensor Fusionintermediate
- Reinforcement Learningintermediate
- NLPintermediate
- Problem-solving skillsintermediate
- Handling ambiguous problemsintermediate
- Influencing cross-team decisionsintermediate
- Embedded systemsintermediate
- Data structures/algorithmsintermediate
- Real-time constraintsintermediate
- Power efficiencyintermediate
Required Qualifications
- 8-12 years of experience in software engineering (experience)
- 3-4 years of experience in ML/AI (experience)
- Proven track record in building and shipping on-device ML/AI products (experience)
- Experience with embedded systems, data structures/algorithms, and automotive-specific challenges (e.g., real-time constraints, power efficiency) (experience)
- Experience with AI/ML in automotive contexts such as ADAS, robotics, or sensor fusion (experience)
- Knowledge of testing, maintaining, and launching software in regulated environments (experience)
- More than a year of relevant work experience (experience)
- Solid understanding of programming concepts, software design, and software development principles (experience)
Responsibilities
- Applies scientific methods to analyse and solve software engineering problems
- Responsible for the development and application of software engineering practice and knowledge in research, design, development, and maintenance
- Exercises original thought and judgement and supervises the technical and administrative work of other software engineers
- Builds skills and expertise in software engineering discipline to reach standard expectations
- Collaborates and acts as a team player with other software engineers and stakeholders
- Works to direction with minimal supervision, producing accurate and reliable results
- Organises own time to deliver against tasks set by others with a mid-term horizon
- Works co-operatively with others to achieve team goals and impacts project performance
Tags & Categories
Answer 10 quick questions to check your fit for AI/ML - Automotive Expert @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs