Machine Learning Engineer (Artificial Intelligence)

Machine Learning Engineer (Artificial Intelligence)

We are seeking a highly motivated individual, the best of the bests talent to join our team as a Machine Learning Engineer (Artificial Intelligence). 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 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.

Requirements

Bachelor's degree or higher in 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.

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.

About the Role & Growth

As a Machine Learning 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.

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 also encouraged to apply!

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