AI Engineer

JonDavidson Pte Ltd; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

JonDavidson Pte Ltd in Singapore is seeking a data science professional with practical experience in ML, NLP, and generative AI to design and deploy AI solutions.

You will work with Python/R, frameworks like TensorFlow, PyTorch, Langchain, and integrate models from HuggingFace, deploying on cloud platforms.

Candidates should have a Bachelor's in CS/Engineering/DS and at least 2 years of relevant experience, with a focus on fairness and accountable AI.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• Minimum 2 years of experience in Data Science and Machine Learning.
• Experience deploying LLMs, AI Agents and AI Solutions, and integrating/open source AI models from HuggingFace.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in Python and R; frameworks like TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.

Skills

Data Science

Machine Learning

NLP

Generative AI

Python

R

Cloud Platforms

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

TensorFlow

PyTorch

Flask

Langchain

Llamaindex

CrewAI

Autogen

HuggingFace

BERT

GPT

Transformer models

Job description

• Bachelor's Degree in Computer Science, Engineering, Data Science, or any other relevant subject.

• Minimum 2 years of experience in Data Science and Machine Learning.

• Experience deploying LLMs, AI Agents and AI Solutions, and integrating and deploying open source AI models and solutions from Huggingface repository.

• In-depth knowledge of machine learning, deep learning, and generative AI techniques.

• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow, PyTorch, Flask, Langchain, Llamaindex, CrewAI and Autogen.

• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.

• Familiarity with computer vision techniques for image recognition, object detection, or image generation.

• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.

• Expertise in data engineering, including data curation, cleaning, and preprocessing.

• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.