AIML Engineer
Capgemini
AIML Engineer
Job Description
AIML Engineer
📋 Job Overview
The AIML Engineer role at Capgemini involves developing, engineering, and deploying machine learning models to drive technological innovation for global organizations. Candidates will leverage expertise in Python, SQL, and ML frameworks to enhance model accuracy and productionize solutions across various domains. This position offers opportunities for career growth in a collaborative, hybrid work environment focused on sustainability and digital transformation.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Develop and implement machine learning, Deep Learning, and NLP models
- Handle data using SQL at an expert level
- Engineer and improve machine learning models
- Deploy models to production systems
- Enhance model accuracy through feature engineering, selection, and data augmentation
✅ Required Qualifications
- 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains
- Expert Level Proficiency in Data Handling (SQL)
- Must have experience with Machine Learning Model Development
- Hands-on with Model Engineering and Improvement
- Strong experience in Model Deployment and Productionlization
- Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation
- Strong expertise in deploying machine learning models to production systems
🛠️ Required Skills
- Machine Learning
- Deep Learning
- NLP
- Python
- scikit-learn
- XGBoost
- Keras
- SQL
- Feature Engineering
- Feature Selection
- Data Augmentation
- Model Deployment
- Model Productionlization
🎁 Benefits & Perks
- Flexible work arrangements in hybrid mode
- Environment to maintain healthy work-life balance
- Focus on career growth and professional development
- Valuable certifications and training programs in AIML and Machine Learning
Locations
- Bangalore, 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
- Machine Learningintermediate
- Deep Learningintermediate
- NLPintermediate
- Pythonintermediate
- scikit-learnintermediate
- XGBoostintermediate
- Kerasintermediate
- SQLintermediate
- Feature Engineeringintermediate
- Feature Selectionintermediate
- Data Augmentationintermediate
- Model Deploymentintermediate
- Model Productionlizationintermediate
Required Qualifications
- 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains (experience)
- Expert Level Proficiency in Data Handling (SQL) (experience)
- Must have experience with Machine Learning Model Development (experience)
- Hands-on with Model Engineering and Improvement (experience)
- Strong experience in Model Deployment and Productionlization (experience)
- Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation (experience)
- Strong expertise in deploying machine learning models to production systems (experience)
Responsibilities
- Develop and implement machine learning, Deep Learning, and NLP models
- Handle data using SQL at an expert level
- Engineer and improve machine learning models
- Deploy models to production systems
- Enhance model accuracy through feature engineering, selection, and data augmentation
Benefits
- general: Flexible work arrangements in hybrid mode
- general: Environment to maintain healthy work-life balance
- general: Focus on career growth and professional development
- general: Valuable certifications and training programs in AIML and Machine Learning
Tags & Categories
Answer 10 quick questions to check your fit for AIML Engineer @ Capgemini.
Related Books and Jobs
AIML Engineer
Capgemini
AIML Engineer
Job Description
AIML Engineer
📋 Job Overview
The AIML Engineer role at Capgemini involves developing, engineering, and deploying machine learning models to drive technological innovation for global organizations. Candidates will leverage expertise in Python, SQL, and ML frameworks to enhance model accuracy and productionize solutions across various domains. This position offers opportunities for career growth in a collaborative, hybrid work environment focused on sustainability and digital transformation.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: I and D Global Business Line
🎯 Key Responsibilities
- Develop and implement machine learning, Deep Learning, and NLP models
- Handle data using SQL at an expert level
- Engineer and improve machine learning models
- Deploy models to production systems
- Enhance model accuracy through feature engineering, selection, and data augmentation
✅ Required Qualifications
- 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains
- Expert Level Proficiency in Data Handling (SQL)
- Must have experience with Machine Learning Model Development
- Hands-on with Model Engineering and Improvement
- Strong experience in Model Deployment and Productionlization
- Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation
- Strong expertise in deploying machine learning models to production systems
🛠️ Required Skills
- Machine Learning
- Deep Learning
- NLP
- Python
- scikit-learn
- XGBoost
- Keras
- SQL
- Feature Engineering
- Feature Selection
- Data Augmentation
- Model Deployment
- Model Productionlization
🎁 Benefits & Perks
- Flexible work arrangements in hybrid mode
- Environment to maintain healthy work-life balance
- Focus on career growth and professional development
- Valuable certifications and training programs in AIML and Machine Learning
Locations
- Bangalore, 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
- Machine Learningintermediate
- Deep Learningintermediate
- NLPintermediate
- Pythonintermediate
- scikit-learnintermediate
- XGBoostintermediate
- Kerasintermediate
- SQLintermediate
- Feature Engineeringintermediate
- Feature Selectionintermediate
- Data Augmentationintermediate
- Model Deploymentintermediate
- Model Productionlizationintermediate
Required Qualifications
- 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains (experience)
- Expert Level Proficiency in Data Handling (SQL) (experience)
- Must have experience with Machine Learning Model Development (experience)
- Hands-on with Model Engineering and Improvement (experience)
- Strong experience in Model Deployment and Productionlization (experience)
- Proven experience in enhancing model accuracy through engineering techniques, such as feature engineering, feature selection, and data augmentation (experience)
- Strong expertise in deploying machine learning models to production systems (experience)
Responsibilities
- Develop and implement machine learning, Deep Learning, and NLP models
- Handle data using SQL at an expert level
- Engineer and improve machine learning models
- Deploy models to production systems
- Enhance model accuracy through feature engineering, selection, and data augmentation
Benefits
- general: Flexible work arrangements in hybrid mode
- general: Environment to maintain healthy work-life balance
- general: Focus on career growth and professional development
- general: Valuable certifications and training programs in AIML and Machine Learning
Tags & Categories
Answer 10 quick questions to check your fit for AIML Engineer @ Capgemini.
Related Books and Jobs