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    Home/Jobs/AIML Cloud Developer

    AIML Cloud Developer

    Hewlett Packard Enterprise

    Bengaluru
    1-3 years
    46 days ago
    ₹6–15 LPA
    Full-time
    Hybrid

    Skills Required

    Gen AI
    Python
    Go
    Jupyter notebooks
    DevOps
    Kubernetes
    Prompts Engineering
    Pandas
    Scikit
    NumPy
    Scripting

    Description

    AIML Cloud Developer role at Hewlett Packard Enterprise, a global edge-to-cloud company, with a hybrid work model requiring 2 days per week in the office.

    Company: Hewlett Packard Enterprise

    Role: AIML Cloud Developer

    Location: Bengaluru, Karnātaka, 560048

    Experience:

    • Typically, 1-3 years’ experience

    Qualification:

    • Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
    • Master’s desirable

    Role Focus: • Design simple to moderate AI/ML based cloud application features • Develop and maintain GenAI/cloud application modules • Design test plans, develop, execute, and automate test cases • Deploy code and troubleshoot issues • Share and review innovative technical ideas with peers • Analyse data processing problems to develop solutions

    Nice to have:

    • Cloud Architectures
    • Cross Domain Knowledge
    • Design Thinking
    • Development Fundamentals
    • Distributed Computing
    • Microservices Fluency
    • Full Stack Development
    • Release Management
    • Security-First Mindset
    • User Experience (UX)

    More skills:

    Python (Pandas, Scikit, NumPy), Design methodologies, Cloud-native applications, Developer tools, Managed services, Next-generation databases, DevOps practices

    Other:

    • Comprehensive health & wellbeing benefits
    • Personal & Professional Development programs
    • Unconditional Inclusion policy
    • Equal Employment Opportunity

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

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    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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