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    Home/Jobs/Senior AI and Machine Learning Engineer

    Senior AI and Machine Learning Engineer

    Hewlett Packard Enterprise

    Bengaluru
    7-10 years
    Today
    ₹18–35 LPA
    Full-time
    Onsite

    Skills Required

    Python
    R
    Java
    TensorFlow
    PyTorch
    sci-kit
    Keras
    Machine Learning
    Deep Learning
    AI
    Data Science
    Data Engineering
    Linear Algebra
    Calculus
    Probability Theory

    Description

    Senior AI and Machine Learning Engineer role at Hewlett Packard Enterprise, primarily working from an HPE office in Bengaluru, Karnātaka.

    Company: Hewlett Packard Enterprise

    Role: Senior AI and Machine Learning Engineer

    Location: Bengaluru, Karnātaka, 560048

    Experience:

    • Typically, 7-10 years’ experience

    Key Skills:

    • Machine learning algorithms
    • Deep learning models
    • Python
    • R
    • Java
    • TensorFlow
    • PyTorch
    • sci-kit
    • Keras
    • Linear algebra
    • Calculus
    • Probability theory
    • Statistical concepts

    Qualification:

    • Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline

    Role Focus:

    • Develop and program integrated software algorithms
    • Improve product/system performance, data management, quality, and accuracy
    • Formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms
    • Translate technical specifications into code
    • Apply, optimize and scale deep learning technologies and algorithms
    • Document procedures for installation and maintenance
    • Complete programming, perform testing and debugging
    • Define and monitor performance metrics

    Additional responsibilities:

    • Conduct research and stay up to date with the latest advancements in AI and machine learning technologies
    • Explore and experiment with cutting-edge techniques
    • Collaborate with cross-functional teams to understand business requirements
    • Design AI and machine learning solutions
    • Develop, implement, and optimize machine learning models and algorithms
    • Deploy machine learning models into production environments
    • Integrate models with existing software systems and infrastructure
    • Monitor the performance of deployed models
    • Organize and lead comprehensive design review sessions
    • Mentor and provide feedback to junior and mid-level team members
    • Provide technical leadership, mentorship, and guidance to junior team members
    • Develop and deliver strategic presentations and reports to senior stakeholders

    Nice to have:

    • A deep understanding of statistical modeling, data mining, and data visualization

    Other:

    • Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
    • Specific programs catered to helping you reach any career goals
    • Unconditionally inclusive work environment
    • Flexibility to manage work and personal needs

    Prepare for this role

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    Python for Everybody Specialization

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    Python 3 Programming Specialization

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    Deep Learning Specialization

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    Five-course deep learning series covering CNNs, RNNs, transformers, and ML strategy.

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