GLO AI-ML specialist
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted on 25 Sept
Reach people at Hewlett Packard Enterprise (HPE)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Hewlett Packard Enterprise (HPE) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop, train, evaluate, and deploy machine learning models and Generative AI solutions including LLM applications and advanced NLP tasks.
- Implement MLOps practices such as model lifecycle management, monitoring, retraining, and CI/CD for ML deployments in production environments.
- Analyze large-scale data sets and design AI-driven solutions to support digital transformation and business performance measurement.
Minimum Requirements
- Mandatory proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
- 3+ years of hands-on experience in building production-grade AI/ML solutions, including Generative AI and enterprise AI applications.
- Master's degree in Computer Science, AI, ML, Data Science, or related field.
- Hybrid work model requiring 2 days per week onsite at an HPE office.
Ideal Candidate Profile
- Experienced in deploying scalable and governed AI/ML solutions with expertise in MLOps and production engineering.
- Strong knowledge in Generative AI technologies including LLMs, prompt engineering, RAG, and AI agents.
- Comfortable working in fast-paced digital transformation environments, contributing to innovation with a focus on delivering measurable business impact.