AI Engineer (Up to $8000 + Benefits / Bonus / Tuas / Urgent)

• Design, develop, and deploy AI and machine learning models with a strong focus on Large Language Models (LLMs) and natural language processing (NLP).
• Work with structured and unstructured data to build efficient models and algorithms.
• Build and maintain machine learning pipelines using Python and related libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Perform data manipulation, analysis, and processing using SQL to query and manage large datasets.
• Implement regression, linear models, and other advanced statistical techniques to draw meaningful insights from data.
• Collaborate with cross-functional teams to integrate AI models into existing applications and systems.
• Continuously evaluate, optimize, and improve the performance of deployed machine learning models.
• Participate in code reviews, documentation, and ensuring best practices in development processes.

Required Qualifications:

• At least 2 years of experience in AI engineering, machine learning, or data science roles.
• Strong proficiency in Python, with hands-on experience in relevant libraries (e.g., NumPy, Pandas, TensorFlow, PyTorch, scikit-learn).
• Experience with Large Language Models (LLMs), such as GPT, BERT, or similar.
• Solid understanding of regression models, linear algebra, and other core machine learning algorithms.
• Strong proficiency in SQL and database management (e.g., MySQL, PostgreSQL).
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Excellent problem-solving and analytical skills, with the ability to understand and interpret complex data.

HOW TO APPLY:

Simply submit your application with your updated Resume in MS Word Format to Nurul Atika Binte Kassim (EA Personnel Reg. No.: R1986508) by clicking the ‘Apply link’ or email to Atika at [email protected] or Call 6590 9960 for a confidential discussion

EA License No: 05C345

Please indicate the below information in your resume:

• Current & Expected Salary
• Reason(s) for leaving
• Notice Period / Availability to commence work

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