Job Description
Job Description
8+ yrs of experience-Design, develop, and deploy machine learning models using Python
- Hand on experience in Tensorflow Keras or Pytorch
- Experience in Analyzing complex, high-volume, high-dimensionality data for building Data pipeline
- ML Lifecycle
- Data Preprocessing
- Data Imputation
- Feature engineering techniques
- Data Synthesize
- Data Augmentation
- Exploratory Data Analysis
- Data Visualization
- Model design and develop using TensorFlow/Pytorch
- Training
- Validation
- Fine-tuning
- Hyper parameter tuning
- Transfer learning
- Experience in existing CNN,LSTM models
- Model Deployment & inferencing
- MLOPS
- MFLOW
- Databricks
- NER model
- Rest API
Life at Capgemini
Capgemini Supports All Aspects Of Your Well-being Throughout The Changing Stages Of Your Life And Career. For Eligible Employees, We Offer
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as 401(k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.