Deskripsi Pekerjaan
Are you a visionary AI Engineer looking to make a tangible impact at the intersection of energy and technology? PetroChina is seeking a highly skilled AI Engineer for a 1-year contract to spearhead the development of production-grade AI and LLM-powered systems. In this role, you will play a critical part in our digital transformation journey, architecting scalable solutions that leverage machine learning to optimize operational efficiency and data-driven decision-making.
You will join a dynamic team of data scientists and software engineers, working in a fast-paced environment where innovation meets industrial-scale application. The ideal candidate possesses a deep understanding of natural language processing, transformer architectures, and modern MLOps pipelines. If you are passionate about building robust, secure, and performant AI applications that solve complex real-world challenges, we want to hear from you.
Tanggung Jawab
- Design, develop, and deploy production-ready LLM-based applications tailored to enterprise energy sector needs.
- Implement MLOps best practices to manage the end-to-end lifecycle of AI models, from training to monitoring.
- Collaborate with cross-functional teams to integrate AI capabilities into existing proprietary software and workflows.
- Conduct rigorous performance testing and model tuning to ensure high accuracy and low latency.
- Manage data pipelines, ensuring security, data integrity, and compliance with corporate standards.
- Provide technical documentation for architecture, API implementations, and deployment strategies.
- Stay at the forefront of the AI research landscape, continuously evaluating new frameworks and tools for operational deployment.
Kualifikasi
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative discipline.
- Minimum 3+ years of professional experience in software engineering, with at least 1 year focused on AI/ML.
- Proven expertise in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong background in Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and prompt engineering.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes.
- Familiarity with vector databases (e.g., Pinecone, Milvus, Weaviate) and NLP libraries (Hugging Face, LangChain).
- Strong analytical mindset with the ability to translate complex business problems into elegant technical solutions.