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    Home/Jobs/Machine Learning Engineer

    Machine Learning Engineer

    Augury Inc.

    Bengaluru
    4+ years
    51 days ago
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LangChain
    Gen AI
    LLM
    Embeddings
    Agentic AI
    Python
    Pydantic
    PTorch
    TensorFlow
    Scikit-learn
    LangGraph
    DSPy
    Machine Learning
    Time-series modeling
    Forecasting

    Description

    Join Augury as a Senior Machine Learning Engineer to transform how people and machines work together. Augury is a leader in Industrial AI, helping manufacturers leverage real-time production insights to drive efficiency.

    Company: Augury Inc.

    Role: Senior Machine Learning Engineer

    Location: Bengaluru

    Experience:

    • 4+ years of experience in Machine Learning, Applied AI, or related fields
    • Proven ability to own and deliver end-to-end ML systems in production environments

    Qualification:

    • Bachelor’s degree in Computer Science, Engineering, or related technical field (B.Tech / B.E or equivalent)
    • Master’s degree (M.Tech or equivalent) is a plus but not required

    Role Focus: • Own the full machine learning lifecycle: problem scoping, data exploration, pipeline development, model training, deployment, and monitoring in production • Design and build Agentic AI systems that combine time-series modeling, signal processing, and generative AI • Develop and deploy machine learning models for forecasting, anomaly detection, and pattern recognition in industrial sensor data • Integrate classical statistical methods, deep learning, and GenAI techniques to generate actionable insights from complex datasets • Build scalable data pipelines and ML systems that operate reliably in production environments • Collaborate with Product, Engineering, and Algorithm teams to define solutions and translate customer needs into technical implementations

    Nice to have:

    • Experience in industrial AI, IoT, predictive maintenance, or manufacturing systems
    • Exposure to digital twins, context graphs, or knowledge graph-based systems
    • Familiarity with modern data platforms such as Databricks, BigQuery, Snowflake, or similar
    • Understanding of optimization frameworks (e.g., Pyomo, Gurobi, OR-Tools)
    • Experience working with large-scale distributed data systems

    More skills:

    ML frameworks (e.g., Pydantic, PTorch, TensorFlow, Scikit-learn), Anomaly detection, Feature engineering, Generative AI systems (LLMs, embeddings, agent-based architectures), Agentic applications, LLM-powered systems

    Other:

    • Stock options
    • Paid parental leave
    • Flex PTO
    • People-first organization with an inclusive environment
    • Equal opportunity employer with a commitment to diversity and inclusion

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

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

    Generative AI with Large Language Models

    Coursera

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

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