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    Home/Jobs/Machine Learning Engineer

    Machine Learning Engineer

    OneInbox

    Bengalore
    3+ years
    1 day ago
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    Hugging Face
    ASR
    TTS
    Intent Recognition
    PyTorch
    Machine Learning
    NLP
    Multilingual Modeling
    Low-resource Language Modeling

    Description

    OneInbox is a voice AI platform focused on enterprise voice applications in Japan and Asia-Pacific, handling multilingual calls for various sectors.

    Company: OneInbox

    Role: Machine Learning Engineer

    Experience:

    • 3+ years of applied ML
    • Experience shipping ML to production

    Responsibilities:

    • Train and ship speech, language, and conversation models
    • Set up evaluation harness against real production call data
    • Identify highest-leverage model improvements based on customer-visible metrics
    • Ship measurable improvements to production-critical models
    • Define and own the evaluation pipeline
    • Reduce inference latency or cost without dropping accuracy
    • Collaborate with engineering and product teams
    • Stand up continuous training and evaluation loop
    • Document model surface for faster onboarding

    Additional responsibilities:

    • Work close to founders and ship quickly
    • Build voice layer for APAC enterprises

    Nice to have:

    • Specialization in speech, NLP, or LLM
    • Strong instinct for fine-tuning, retrieval, and prompt engineering

    More skills:

    speech, language, conversation models, intent, LLM orchestration, modern training infrastructure, multilingual language modeling

    Other:

    • Competitive salary and meaningful equity
    • Medical, dental, and vision coverage for employee and dependents
    • Regular in-person off-sites in Tokyo, Singapore, Dubai, and Bengaluru
    • Flexible time off policy
    • Dedicated annual learning and development budget
    • Conference and travel support
    • Catered meals on office days
    • Commuter support
    • Wellness benefits
    • Institutional investors and committed enterprise customers

    Prepare for this role

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

    Generative AI with Large Language Models

    Coursera

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

    Deep Learning Specialization

    Coursera

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

    Large Language Models: Application through Production

    edX

    Production-focused LLM course covering deployment, monitoring, and scaling.

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