URGENT HIRING

4 days ago

Antipolo City, Calabarzon, Philippines Intelegencia Full time ₱2,000,000 - ₱2,500,000 per year

Data Science Engineer – NLP & LLMs

Full Time | Remote Setup

Are you passionate about building cutting-edge AI solutions? Do you have a strong foundation in Natural Language Processing (NLP), large language models (LLMs), and production-ready machine learning systems? Join our dynamic team of innovators and contribute to real-world projects that leverage the power of AI at scale.

Key Responsibilities

  • Research, design, and implement advanced NLP algorithms and core ML concepts.
  • Develop and deploy deep learning models using 
    PyTorch
    , 
    TensorFlow
    , or 
    Keras
    .
  • Conduct rigorous experiments to evaluate model performance, optimize accuracy, and improve system efficiency.
  • Apply 
    prompt engineering
     techniques using 
    Hugging Face
     and other state-of-the-art tools.
  • Build and maintain scalable ML services using 
    FastAPI
     and 
    Kubernetes
    .
  • Implement and optimize 
    Retrieval-Augmented Generation (RAG)
     pipelines for LLM-based applications.

Your Expertise

  • Strong programming skills in 
    Python
    .
  • Solid experience with 
    PyTorch
    , 
    TensorFlow
    , and hands-on model tuning.
  • Deep understanding of NLP fundamentals: text preprocessing, feature engineering, tokenization, and information retrieval.
  • Working knowledge of 
    LangChain
    , orchestration layers, and 
    vector databases
    .
  • Experience building pipelines with both locally hosted and externally hosted 
    Large Language Models (LLMs)
    .
  • Proficient in scaling ML applications to production environments using containerized services.
  • Familiarity with 
    Computer Vision
     techniques and Frame-Per-Second (FPS) optimization is a plus.

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
  • Experience with MLOps practices and versioning tools.
  • Demonstrated success in delivering high-performing ML solutions in real-world use cases.

Why Join Us?

  • Be part of a high-impact AI team working on state-of-the-art LLMs and NLP systems.
  • Collaborate with passionate experts in machine learning, software engineering, and product innovation.
  • Work in a fast-paced, agile environment that supports growth and experimentation.
  • Enjoy a culture that values curiosity, technical excellence, and continuous learning.

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