Senior Data Scientist

Há 5 dias


Barueri, São Paulo, Brasil Hewlett Packard Tempo inteiro
Job Summary

HP R&D Brazil is a premier research and development organization in Brazil, driving innovation and advancing the state of the art in various fields. The Future Technologies and Experiences Group, a part of HP R&D Brazil, is seeking an experienced AI/ML scientist to join our team.

Key Responsibilities
  • Research and develop generative AI models to drive business impact and innovation.
  • Collaborate with team members and business unit partners to develop proof-of-concept prototypes and move technologies to product.
  • Undertake programs that advance the state of the art and have a significant business impact for HP.
  • Identify key issues and challenges with existing implementations and implement solutions for real-world application.
  • Collaborate with other scientists, developers, strategists, and product managers on new applications.
  • Drive applied research into production and communicate insights effectively.
Requirements
  • Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or a related discipline.
  • 10+ years of work experience in data analytics, statistical modeling, machine learning, or a related field.
  • Programming Language/s Certification (SQL, Python, or similar).
  • Broad knowledge of machine learning, statistical modeling, and data mining.
  • Expertise with building robust systems based on machine learning techniques.
  • Track record of work in Generative AI and Machine Learning (LLMs, LVMs, LMMs, LAM, NEURO SYMBOLIC, SAM) development and deployment.
  • Knowledge of cloud deployments on AWS/Azure.
  • Experience leveraging models from repositories such as Hugging Face.
  • Experience with deep learning frameworks such as Pytorch and Tensorflow.
  • Excellent Software development skills with fast prototyping in Python.
Preferred Skills
  • Technical leadership.
  • Effective Communication.
  • Results Orientation.
  • Learning Agility.
  • Digital Fluency.
  • Customer Centricity.

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