GMP Technologies
Singapore / Global
Singapore / Global
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 and search for Job Reference:
X967567Y
To learn more about this opportunity, please contact Yingying at [HIDDEN TEXT]
We regret that only shortlisted candidates will be notified.
GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239
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Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global
Singapore / Global