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    Home/Jobs/Staff Software Engineer -ML/AI

    Staff Software Engineer -ML/AI

    Lookout, Inc.

    Bengaluru
    5-8 years
    Today
    ₹23–44 LPA
    Full-time
    Onsite

    Skills Required

    Hugging Face
    LangChain
    LLM
    RAG
    Python
    PyTorch
    TensorFlow
    Scikit-learn
    Machine Learning
    Deep Learning
    NLP
    Go
    Kubernetes
    Docker
    MLOps

    Description

    Lookout, Inc. is a globally recognized cybersecurity leader delivering advanced protection for the most vulnerable element of any enterprise security strategy — human error and manipulation.

    Company: Lookout, Inc.

    Role: Staff Software Engineer -ML/AI

    Location: Bengaluru, India

    Experience:

    • 5-8 years of work experience
    • A proven track record of architecting and deploying practical, high-impact ML/AI systems over multiple years
    • Experience working cross-functionally with data engineers, platform engineers, and product stakeholders

    Key Skills:

    • Python
    • PyTorch
    • TensorFlow
    • scikit-learn
    • Hugging Face
    • LangChain
    • LLM/RAG stack components
    • embeddings
    • knowledge graphs
    • vector databases
    • retrieval strategies
    • prompt engineering

    Qualification:

    • BS/MS in Computer Science or related field/degree

    Role Focus:

    • Own the full machine learning lifecycle, from initial research and design to production deployment, monitoring, and continuous retraining
    • Establish and implement robust frameworks to train, evaluate, stress-test, and monitor ML/AI systems
    • Address and navigate real-world scale and performance challenges
    • Set technical direction as a senior Individual Contributor (IC) and mentor junior engineers
    • Assist with improving all forms of automated testing
    • Fully participate in the ownership of services and components, including on-call duties

    Nice to have:

    • Practical experience applying advanced techniques to enhance model efficiency
    • Experience with efficient Large Language Model (LLM) fine-tuning methods
    • Experience working with coding agents
    • Experience with event streaming frameworks
    • Professional programming experience with Scala and Golang
    • Experience with serverless architectures on AWS, GCP
    • Experience with Kubernetes, container technology

    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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