RightShip, as a leading maritime safety and environmental expert, aims to expand its influence in safety, sustainability, and crew welfare using cutting-edge innovation, digitalization, data, and customer-focused solutions. We are seeking a motivated and hands-on AI Engineer who can join our team of highly skilled engineers.
As an AI Engineer, you will be responsible for developing and implementing LLM and GPT-based applications, fine-tuning LLMs, and developing in-house RAG frameworks to handle unstructured data. You will evaluate these frameworks and enhance the AI capabilities across the company.
This role involves working closely with senior business stakeholders, coordinating with cloud infrastructure teams, and leading GenAI projects. You will also play a key role in building the GenAI infrastructure on the cloud and streamlining AI application deployment across the organization.
Major Responsibilities
· Develop and implement LLM and GPT-based applications.
· Fine-tune LLM models to improve performance.
· Develop and maintain in-house RAG frameworks for handling unstructured data.
· Evaluate RAG frameworks and enhance AI capabilities across the organization.
· Present LLM-based solutions to senior business stakeholders across APAC.
· Build and maintain GenAI infrastructure on the cloud, with a strong focus on Azure.
· Streamline AI application deployment across the organization.
· Stay up-to-date with the latest trends and best practices.
· Conduct experiments and measure the effectiveness of AI models and applications.
· Implement vectorization and embedding techniques for various AI applications.
· Work on multi-modal AI projects and integrate multi-modal capabilities into existing frameworks.
Qualifications, Skills & Experience
· Bachelor’s degree in Computer Science, Data Science, or a related field.
· 2 years+ of experience as a Data Scientist or ML Engineer.
· Hands-on experience with GenAI/LLM projects.
· Proficiency with GPT models, RAG, Langchain, Langgraph, and AzureML.
· Strong experience with Python and related libraries (e.g., TensorFlow, PyTorch).
· Understanding and practical knowledge of vectorization and embedding techniques.
· Experience with multi-modal AI technologies.
· Experience with Windows Azure for AI and machine learning deployments.
· Excellent problem-solving, analytical, and communication skills.
· Active GitHub contributor is highly appreciated.
