Type
Full-time
Work mode
On-site
Level
Staff
Industry
Engineering / Mechanical
Salary
Thương lượng
Location
Not Available
Overview
- Design, implement, and optimize generative AI models for various applications.
- Stay up-to-date on the latest generative AI research and translate those advancements into practical solutions.
- Collaborate with researchers, data scientists, and software engineers to integrate generative AI models into production systems.
- Evaluate and analyze the performance of generative AI models, ensuring accuracy, efficiency, and adherence to ethical guidelines.
- Clearly document your work, including research findings, technical details, and model performance metrics.
- Effectively communicate complex technical concepts to both technical and non-technical audiences, using strong written and verbal English communication skills.
- Very good educational background, preferably in the fields of computer science or engineering.
- Expertise in LLM & NLP with proven experience in handling production-level models and demonstrating the ability to evaluate such models
- Proven experience in designing, implementing, and optimizing generative AI models
- In-depth understanding of deep learning architectures and machine learning techniques relevant to generative AI.
- Experience working with large datasets and cloud computing platforms.
- Familiarity with generative AI services on at least one of the following cloud platforms: Azure (Azure AI, Cognitive Services), GCP (AI Platform, Vertex AI), or AWS (Amazon SageMaker, AWS AI Services).
- Experience with Langchain, leveraging its capabilities to enhance generative AI applications.
- Excellent written and verbal communication skills in English, with the ability to explain technical concepts clearly and concisely.
- Strong problem-solving skills and a passion for innovation.
- Ability to work independently and as part of a cross-functional team.
- Strong English communication skills to effectively collaborate with a diverse team and communicate complex technical concepts to stakeholders.
- AWS (Amazon SageMaker, AWS AI Services)
- Data Handling: Experience working with large-scale datasets and cloud computing environments.
Benefits
BonusTraining
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