Responsibilities
- Designing and implementing LLM-based applications and algorithms utilizing state-of-the-art techniques such as GPT, DALL-E.
- Collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
- Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
- Developing and maintaining AI pipelines, including data pre-processing, feature extraction, model training, and evaluation.
- Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
- Qualifications:
- In-depth knowledge of machine learning, deep learning and natural language processing.
- Proficient in Python and practical experience in frameworks such as TensorFlow, PyTorch, Scikit-learn, SpaCy, Transformers (Hugging Face).
- Experience in applying LLMs, such as GPT, to build applications and hands-on experience in LLM-based app frameworks such as Langchain, LlamaIndex, etc.
- Excellent problem-solving abilities with the capacity to translate business problems into technical tasks.
- Strong communication and collaboration skills.
Nice to have:
- Practical experience in container technology and cloud services, such as Docker, Azure, or AWS.
- Experience in the large volumes of data processing.
- Excellent verbal communications skills in English.
- A strong passion for learning and adapting to new technologies.
- Industry experience in logistics real estate or investment.
- Any certifications in ML/DL are preferred.
- Continual learning ability and insight into new technologies.
- At least 5 years of work experience in AI.