Data Science Engineer
9 hours ago
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.
Job Type: Full-time
Pay: Php90, Php100,000.00 per month
Benefits:
- Additional leave
- Company Christmas gift
- Flextime
- Health insurance
- Life insurance
- Opportunities for promotion
- Paid training
- Pay raise
- Staff meals provided
- Work from home
Work Location: Remote
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