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Software Engineer - Data Scientist AI/ML

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Hewlett Packard Enterprise

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.

Job Responsibility:

  • Collaborate with team to understand feature, work with domain experts to identify relevant “signals” during feature engineering, deliver generic and performant ML solutions
  • Keep up to date with newest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design

Requirements:

  • BS/MS in Computer Science or Data Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
  • General understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc
  • Experience building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
  • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
  • Works well in a team setting and is self-driven

Nice to have:

  • Experience with some/equivalent: AWS, Flink, Spark, Kafka, Elastic Search, Kubeflow
  • Knowledge with NLP technology
  • Demonstrable problem-solving ability
  • Conceptual understanding of system design concepts
What we offer:
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion

Additional Information:

Job Posted:
July 29, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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