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    Home/Jobs/Senior Software Engineer, AI/ML

    Senior Software Engineer, AI/ML

    Google

    Hyderabad
    5+ years
    45 days ago
    ₹18–35 LPA
    Full-time
    Onsite

    Skills Required

    Python
    TensorFlow
    JAX
    Scikit-learn
    Speech/audio
    Reinforcement learning
    ML infrastructure
    MLOps
    BigQuery
    Beam
    Dataflow
    GCP

    Description

    We are seeking a highly experienced and results-oriented Senior AI Software Engineer to join our Human Resources Engineering (HRE) team in Hyderabad. The POps Engineering team at Google is dedicated to building innovative and scalable technology solutions that empower Google's global workforce. We leverage the power of data and AI/ML to optimize HR processes, enhance employee experiences, and drive organizational efficiency.

    Company: Google

    Role: Senior Software Engineer, AI/ML, AI Garage

    Location: Hyderabad, Telangana, India

    Experience:

    • 5 years of experience with software development in one or more programming languages
    • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture
    • 3 years of experience with one or more of the following: Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field
    • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)

    Qualification:

    • Bachelor’s degree or equivalent practical experience
    • Master’s degree or PhD in Computer Science or a related field with a focus on Artificial Intelligence (AI) or Machine Learning (ML)

    Role Focus: • Lead the technical design and architecture of complex, scalable AI/ML systems and infrastructure within the HR engineering domain • Drive the development of advanced algorithms for HR applications like talent acquisition and engagement • Architect data pipelines using Google’s infrastructure (e.g., Beam, Dataflow) for large-scale data ingestion, cleaning, and complex feature engineering • Own the full MLOps lifecycle, including deployment, monitoring, and optimization of production models • Collaborate with cross-functional partners to translate business needs into technical roadmaps

    Nice to have:

    • 7 years of software experience designing and deploying large-scale AI/ML applications and complex models
    • Experience with MLOps, establishing best practices for production model monitoring, maintenance, and lifecycle management
    • Experience leading and mentoring engineers, and translating complex business objectives into scalable AI-driven roadmaps
    • Experience architecting scalable data pipelines using BigQuery, Beam, or Dataflow, and deploying models on Google Cloud Platform
    • Understanding of Python and frameworks like TensorFlow, JAX, and Scikit-learn, with deep statistical modeling knowledge

    Other:

    • The POps Engineering team at Google is dedicated to building innovative and scalable technology solutions that empower Google's global workforce
    • We leverage the power of data and AI/ML to optimize HR processes, enhance employee experiences, and drive organizational efficiency
    • Joining our team means you'll be a leader in applying AI to solve complex and real-world tests
    • In this role, you will be a technical lead, driving the design, development, and deployment of sophisticated AI-powered solutions that significantly impact Google's employees
    • You will work on Google-scale infrastructure, mentor a talented team of engineers, collaborate with cross-functional partners, and contribute strategically to the future of HR at Google through innovative AI applications

    Prepare for this role

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

    Python for Everybody Specialization

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    Python 3 Programming Specialization

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

    Google Cloud Professional ML Engineer

    Coursera

    GCP ML Engineer certification prep — Vertex AI, BigQuery ML, and AutoML.

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