Machine Learning Engineer

4 weeks ago


Alpharetta GA, United States Capgemini Full time

Job Role:

As a Machine Learning Engineer at Capgemini, you will be responsible for designing, developing, and deploying machine learning models using Python. You will work with complex, high-volume, high-dimensionality data to build data pipelines and analyze data using various techniques such as data preprocessing, imputation, feature engineering, data synthesis, data augmentation, exploratory data analysis, and data visualization.

Key Responsibilities:

  • Design and develop machine learning models using TensorFlow and PyTorch
  • Train, validate, and fine-tune models using hyperparameter tuning and transfer learning
  • Deploy and infer models using MLOPS and MFLOW
  • Work with relational databases and REST APIs
  • Develop NER models and integrate them with existing systems

Requirements:

  • 8+ years of experience in machine learning and data science
  • Hands-on experience with TensorFlow, Keras, and PyTorch
  • Experience with data preprocessing, imputation, feature engineering, data synthesis, data augmentation, exploratory data analysis, and data visualization
  • Strong understanding of machine learning concepts and algorithms
  • Excellent problem-solving skills and attention to detail

What We Offer:

  • Flexible work arrangements
  • Comprehensive healthcare and well-being programs
  • Financial well-being programs, including 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits, including adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits, including subsidized back-up child/elder care and tutoring
  • Mentoring, coaching, and learning programs
  • Employee Resource Groups
  • Disaster Relief

Capgemini is an Equal Opportunity Employer:

We are committed to creating a diverse and inclusive workplace that reflects the communities we serve. We welcome applications from qualified candidates of all backgrounds and perspectives.



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