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:
Data Analytics, Machine Learning, test automation, Python, Sql, LabVIEW, R, generative AI, AI agent development
Skills:
PostgreSQL, Sql, Cybersecurity, Nosql, MLops, MongoDB, Data Privacy, Python, Ocr, LLMOps, vector databases, Document AI, RAG pipelines, LLM technologies
Skills:
Retrieval-Augmented Generation (RAG), Json, Docker, Machine Learning, Apis, Natural Language Processing, software testing, Rest Services, Git, Python Programming, Kubernetes, embeddings, Google Gemini, Pinecone, Azure OpenAI, LangGraph, Chroma, Azure AI Search, semantic search, LangChain, CrewAI, DevOps practices, cloud platforms, Anthropic, Semantic Kernel, AutoGen, CI/CD pipelines, context management, Milvus, OpenAI, Weaviate, LlamaIndex, function calling
Skills:
object detection , Tensorflow, Pytorch, Docker, Python, Cloud deployment, C++, Deep Learning, Cuda, MLops, Computer Vision, Segmentation, TensorRT, Quantization, Tracking, Model Optimization, ONNX, DeepStream, Real-Time Inference Pipelines, Production Video Systems, NVIDIA Ecosystem, Jetson Deployment, RTSP Video Streaming, Multi-Camera Processing, Inference Acceleration
Skills:
Tensorflow, Pytorch, Computer Vision, Natural Language Processing, Python, Speech Recognition, AI and machine learning