Junior - Middle AI/Machine Learning Engineer
5 days ago
- Dự án sáng tạo, nhiều bài toán mới mẻ.
- Môi trường đồng đội, hỗ trợ lẫn nhau.
- Cơ hội phát triển sự nghiệp rõ ràng, dài hạn.
- Research and design AI models and algorithms with custom layers and advanced techniques to solve real-world problems.
- Build custom datasets from real-life data, including preprocessing, cleaning, and annotation.
- Train models on NVIDIA GPUs, optimizing performance with CUDA, TensorRT, and mixed precision.
- Deploy models across multiple environments — local apps, on-prem servers, and cloud platforms.
- Set up CI/CD pipelines for automated training, testing, and deployment.
- Focus on optimization and security, minimizing inference latency, memory footprint, and maximizing throughput.
- Collaborate with the team to develop and maintain MLOps pipelines, ensuring scalability, reproducibility, and monitoring across the AI system.
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Solid foundation in Python and familiarity with other modern programming languages.
- Comfortable reading and writing technical documentation in English and collaborating in an English-speaking team.
- Strong analytical and problem-solving abilities, with attention to detail.
- Enthusiastic and self-driven, with a strong desire to explore and learn emerging AI technologies.
- Basic understanding of machine learning principles, deep learning, natural language processing (NLP), and computer vision, time series, RAG model.
- Familiarity with AI/ML frameworks such as TensorFlow, PyTorch.
- Hands-on experience with data preprocessing, feature engineering, and evaluating model performance.
- 1–3 years of experience in software or AI-related development.
- Proven ability to work effectively with a Tech Lead within a team-based AI/ML project environment.
Nice to have:
- Knowledge of AI Cloud (AWS) is a plus.
- Knowledge of MLOps tools.
- Knowledge of big data platforms (e.g., Spark, Databricks) or data analysis tools (e.g., pandas).
- Tập trung sản phẩm & khách hàng, song song phát triển năng lực đội ngũ và cá nhân.
- Được chủ động với tính năng cốt lõi (không phải dự án maintain), thử thách cao về UX & thẩm mỹ.
- BHYT, BHXH, nghỉ phép theo quy định Nhà nước; lương thỏa thuận theo năng lực; cơ hội học hỏi & thăng tiến nhanh.
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