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    Home/Jobs/AI/ML Engineer

    AI/ML Engineer

    Quest Global

    Thiruvananthapuram
    4-5 years
    Today
    ₹15–28 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    vLLM
    LangGraph
    Langfuse
    Llama 3
    gemma
    Qwen
    Kimi
    TensorFlow
    PyTorch
    ONNX
    TensorRT
    llama.cpp

    Description

    At Quest Global, it's not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. We are looking for an experienced AI/ML Engineer to design, develop and deploy machine learning algorithms on embedded platforms for the next generation automotive infotainment systems.

    Company: Quest Global

    Role: AI/ML Engineer

    Location: 2 locations

    Experience:

    • 4–5 years of proven development experience in AI/ML for embedded device

    Key Skills:

    • TensorFlow
    • PyTorch
    • ONNX
    • TensorRT
    • llama.cpp
    • vLLM
    • Ollama
    • NVIDIA Triton Inference Server
    • LangChain
    • LangGraph
    • Langfuse
    • Llama 3
    • gemma
    • Qwen
    • Kimi
    • Python
    • C++/Java
    • embedded Linux
    • Android
    • NLP
    • Conversational AI
    • Speech interfaces (ASR, TTS)
    • CAN

    Role Focus:

    • Design, train, and optimize AI/ML models for real-time, edge-based deployment
    • Design, implement, and optimize Retrieval-Augmented Generation (RAG) workflows and fine-tune large language models (LLMs) to build scalable, secure, and production-ready enterprise GenAI applications
    • Work with multi-modal data sources (audio, vision, sensor, telematics) to build robust AI systems
    • Develop end-to-end pipelines for data preprocessing, model training, evaluation, and deployment
    • Implement algorithms optimized for embedded and resource-constrained platforms
    • Validate AI models with real-world automotive datasets
    • Perform model optimization (quantization, pruning) for deployment on embedded SoCs
    • Collaborate with system architects, Application developers, and automotive domain experts to ensure end-to-end functionality
    • Stay up to date with AI/ML advancements and automotive industry trends

    Nice to have:

    • Experience working with embedded Linux, Automotive Android
    • Knowledge of vehicle data interfaces (CAN, OBD-II, sensors)
    • Exposure to LLMOps & MLOps pipelines and cloud platforms (AWS/GCP/Azure)

    Other:

    • Group medical insurance coverage
    • Group term life insurance coverage
    • Group personal accident insurance coverage
    • Staff loan salary and salary advance
    • Transportation
    • Bonus for referrals
    • Childcare reimbursement
    • Learning platform
    • Service milestones/ann

    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.

    Functions, Tools and Agents with LangChain

    Coursera

    Advanced LangChain covering function calling, tool use, and conversational agents.

    Large Language Models: Application through Production

    edX

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

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