Senior Data/AI Engineer
1 week ago
Job Responsibilities:
- Develop and deploy machine learning models: Design, build, optimize, and deploy machine learning models to address business challenges.
- Collaborate with cross-functional teams to define objectives and integrate models into production systems.
- Model training and evaluation: Train and fine-tune models using advanced algorithms, ensuring optimal performance through techniques like cross-validation and hyperparameter optimization.
- Model deployment and integration: Work with software engineers and DevOps to deploy models, implement APIs, and integrate solutions into existing applications for real-time decision-making.
- Performance monitoring and maintenance: Continuously monitor, refine, and enhance model performance, addressing anomalies and incorporating user feedback.
- Data analysis and insights: Conduct exploratory data analysis, generate insights, and present findings using statistical and visualization techniques.
- Stay up-to-date with the latest advancements: Stay updated with advancements in machine learning and AI, recommending tools and methodologies to improve workflows.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or equivalent experience.
- Minimum 2 years' experience in a similar role, with hands-on expertise in designing, developing, and deploying machine learning models.
- Strong knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with Large Language Models and Generative AI is a plus.
- Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong foundation in statistical analysis, probability, and hypothesis testing.
- Familiarity with cloud-based machine learning tools (AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
- Adaptable and committed to continuous learning, with a focus on staying updated on advancements in machine learning and AI.
(EA Reg No: 20C0312)
Please email a copy of your detailed resume to qianyu@talentsis.com.sg for immediate processing.
Only shortlisted candidates will be notified.
Tell employers what skills you haveTensorFlow
Machine Learning
PySpark
Pandas
Data Analysis
Azure
NumPy
AWS
Artificial Intelligence
Artificial Neural Networks
Data Engineering
Adaptable
PyTorch
Python
GCP
Data Science
Visualization
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