Intern, AI Engineer
- Posted 2 months ago
- Be among the first 10 applicants
Job Description
Key Responsibilities
JOB DESCRIPTION
JOB DESCRIPTION
- Support vendor-managed projects and assessment of AI, Data (Big Data included) models to meet business requirements, in areas such as NLP, computer vision, chatbots and Large Language Models (LLM).
- Experiment and evaluate state-of-the-art and in-house generative AI models and AI agents, analyze performance, and iterate based on findings.
- Collect feedback from users to continuously refine AI tool deployment and adoption strategies.
- Assist in conducting data and AI workshops/ trainings to cultivate JP staffs in using analytical and AI tools for operations and planning.
- Generate and implement relevant codes for data transformation (ETL), normalisation, aggregation tasks, and related works on data visualisation and analytics in PowerBI.
- Pursuing a degree in Applied AI/ML, Data Science, Computer Science or a related field (current undergraduate or graduate student preferred).
- Proficiency in programming languages such as Python, SQL or Java.
- Prior experience or coursework in data analytics and visualization is preferred.
- Foundation knowledge in AI frameworks such as TensorFlow/ PyTorch, or Hugging Face Transformers is preferred.
- Experience with LLMs, generative AI (OpenAI, LangChain), or deep learning will be a plus.
- Prior experience or coursework exposure to cloud services like Amazon Web services (AWS) and Google Cloud Platform (GCP) is a plus.
- Strong analytical mindset with problem-solving skills, adaptable, eager to learn, and enthusiastic about new technologies.
- Hands-on experience working with state-of-the-art Big Data & AI model and tools on hyper-scalers such as AWS or GCP.
- Mentorship and guidance from experienced AI & data management professionals.
More Info
About Company
Skills:
Tensorflow, Pytorch, Python
Skills:
Java, Golang, Database Design, Node.js, Frontend frameworks
Skills:
Apis, Python Programming, AI workflows, Generative AI, LLMs, RAG solutions, Software engineering best practices
Skills:
Databases, Software Development, Apis, automation solutions, Python, AI and machine learning solutions, AI tools, embeddings, Generative AI, vector databases, prompt engineering, RAG, AI agents
Skills:
Git, React, MLops, Docker, Flask, Microsoft Azure, FastAPI, Rest Apis, Python, Generative AI, LLMOps, Basic database design, CI/CD pipelines, Streamlit