Software Engineer - Data Scientist AI/ML, Hewlett Packard Enterprise

Hewlett Packard Enterprise

Location:
India, Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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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Software Engineer - Data Scientist AI/ML