Graduate AI Engineer
Summary
Entry-level AI/ML engineer at FootfallCam in Kuala Lumpur: designing, training and deploying machine learning models (computer vision, NLP, LLM/RAG) on customer datasets, curating data, and working directly with end customers as a Forward Deployed Engineer. Stack spans Python/R/Java/C++ with TensorFlow, PyTorch, HuggingFace, LangChain and related ML tooling.
Salary: RM 4,000 – RM 6,000 per month
We are seeking a highly motivated individual, the best of the bests talent to join our team as a entry level Graduate AI Engineer. We welcome new graduates as well as experienced professionals who have the passion, curiosity, ability, and determination to be the best ML or AI engineer.
Responsibilities:
Design, develop, and deploy machine learning models and AI algorithms for complex and unique datasets, using various techniques such as mathematical modeling, scikit-learn, NLP, CNN, RNN, DL, RL, Video Transformers, GAN, LLM, SLM, RAG, prompt engineering, GPT, AI Agent, Foundation Models, GPT, MCP, VLM, and VLA
Collaborate with cross-functional teams to extract insights, identify business opportunities and provide data-driven recommendations
Stay up-to-date with the latest machine learning and AI techniques and tools
Communicate complex technical concepts to non-technical stakeholders in an easy-to-understand manner
Responsible for dataset curation, data collection, ground truth annotation, quality control audit and human-in-the-loop validation
Be the front line to work closely with end customers on developing and delivering customized complex software solutions as a Forward Deployed Engineer (FDE)
Requirements:
Bachelor's degree or higher in Artificial Intelligence, Computer Science, Mathematics, Statistics, Actuarial Science, Informatics, Information Science or related fields
Strong analytical skills and attention to detail
Participation in Kaggle, Mathematics Olympiad or similar competitions is a plus
Active involvement in public code repository is a plus
Excellent programming skills in Python, R, Java, or C++
Familiar with ML frameworks such as Tensorflow, Keras, PyTorch, MLFlow, AutoML, TensorRT, CUDA, HuggingFace, LangChain, LlamaIndex, LoRa/QLoRa, AI Agents, RAG, OpenClaw
Excellent communication and collaboration skills
Experience with designing, training, and deploying machine learning models
Customer centric and committed to deliver the best AI results to customers
Mindset of a forward deploy engineer (FDE)
As a AI Engineer, you will receive guidance from experienced senior AI specialists and have opportunities for professional growth and advancement within the company. We also encourage vibe coding and context engineering, use of agentic coding to achieve 10x efficiency.
Possible future career paths after 2 years include Senior Machine Learning Engineer, AI Architect, AI Team Lead, Data Scientist, Data Architect, Data Lead, Research Engineer, Senior Research Engineer.
Please note that this position is only for the best of the bests, and we expect candidates to have a strong mathematical background, fundamental AI concepts and the grit to solve complex problems. If you believe you have what it takes to excel in this challenging position, apply now.
Fresh Graduates are encouraged to apply! Experienced professionals with 1-2 years of working experience are welcomed too, and the remuneration package will be discussed during the interview process and will be determined at the company’s discretion.