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AIML Engineer
Your Role
- Must have experience with Machine Learning Model Development
- Expert Level Proficiency in Data Handling (SQL)
- Hands-on with Model Engineering and Improvement
- Strong experience in Model Deployment and Productionlization
Your Profile
- 5-14 years of experience in developing and implementing machine learning, Deep Learning, NLP models across various domains.
- Strong proficiency in Python, including relevant libraries and frameworks for machine learning, such as scikit-learn, XGBoost and Keras.
- 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.
What you will love about working here
- We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance
- Our focus will be your career growth & professional development to support you in exploring the world of opportunities.
- Equip yourself with valuable certifications & training programmes in the latest technologies such as AIML, Machine Learning
Key Skills
Ranked by relevanceReady to apply?
Join Capgemini and take your career to the next level!
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