Capgemini is hiring an AIML Engineer to be responsible for machine learning model development, engineering, improvement, and deployment. At Capgemini, you will be empowered to shape your career, supported by a collaborative global community, and help leading organizations unlock the value of technology.
What You'll Do
- Develop and implement machine learning, Deep Learning, and NLP models across various domains.
- Handle machine learning model development, engineering, and improvement.
- Deploy and productionalize machine learning models.
What We're Looking For
- 5-14 years of experience developing and implementing machine learning, Deep Learning, and NLP models.
- Direct experience with Machine Learning Model Development.
- Expert-level proficiency in data handling with SQL.
- Strong proficiency in Python and relevant ML libraries like scikit-learn, XGBoost, and Keras.
- Proven experience enhancing model accuracy through techniques like feature engineering, feature selection, and data augmentation.
- Strong expertise deploying machine learning models to production systems.
Technical Stack
- SQL
- Python
- scikit-learn
- XGBoost
- Keras
Benefits & Compensation
- Flexible work arrangements and support in hybrid mode to maintain a healthy work-life balance.
- Career growth and professional development support.
- Valuable certifications and training programmes in the latest technologies such as AIML and Machine Learning.
Work Mode
This role offers a hybrid work arrangement.
Capgemini is an equal opportunity employer.
