Responsibilities

Develop, validate, and deploy Machine Learning, Deep Learning, and Generative AI models for production environments
Partner with business stakeholders to gather requirements and define project objectives
Design and implement data pipelines for data preprocessing, model training, evaluation, and deployment
Perform data validation and support data quality improvement initiatives
Monitor, maintain, and improve analytical models and data systems
Prepare reports and presentations to communicate findings and recommendations
Provide technical documentation and support for deployed solutions
Perform other tasks as assigned by the supervisor

Requirements

Bachelors degree in Computer Science, Data Science, Engineering, or related discipline
Internship or academic project experience in data analytics or machine learning is an advantage
Technical Skills:
Proficiency in Python and common data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)
Fundamental understanding of Machine Learning and Deep Learning algorithms
Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle)
Exposure to Computer Vision or Generative AI applications will be an advantage
Experience with data visualization tools (e.g., Tableau or similar platforms) is a plus
Basic understanding of model deployment and production environments
Familiarity with manufacturing or industrial data will be advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: X967567Y

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Data Science Engineer (AI / Machine Learning)