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Job Overview: We are seeking a highly experienced and motivated Senior Consultant/Lead to join our Data Strategy and Consulting team. The ideal candidate will have a strong background in data strategy data governance and analytics with the ability to drive datadriven decisionmaking p
Job Overview: We are seeking a highly experienced and motivated Senior Consultant/Lead to join our Data Strategy and Consulting team. The ideal candidate will have a strong background in data strategy data governance and analytics with the ability to drive datadriven decisionmaking p
Job Summary: We are seeking a highly skilled and experienced Data Management Technical Lead to join our growing data team. The ideal candidate will bring deep technical expertise in data integration data warehouse (DWH) modeling and solution architecture especially within the Microsof
Job Summary: We are seeking a highly skilled and experienced Data Management Technical Lead to join our growing data team. The ideal candidate will bring deep technical expertise in data integration data warehouse (DWH) modeling and solution architecture especially within the Microsof
Job Description: We are looking for a Senior Data Management Engineer / Senior Data Engineer with strong experience in data architecture integration and transformation particularly with Informatica. The ideal candidate will be responsible for designing and implementing endtoend data s
Job Description: We are looking for a Senior Data Management Engineer / Senior Data Engineer with strong experience in data architecture integration and transformation particularly with Informatica. The ideal candidate will be responsible for designing and implementing endtoend data s
Responsibilities: Design and develop endtoend machine learning models for NLP applications. Finetune and deploy large language models such as BERT GPT and LLaMA for specific tasks. Build train and evaluate deep learning models using frameworks like TensorFlow PyTorch or Keras.
Responsibilities: Design and develop endtoend machine learning models for NLP applications. Finetune and deploy large language models such as BERT GPT and LLaMA for specific tasks. Build train and evaluate deep learning models using frameworks like TensorFlow PyTorch or Keras.
