## Full Description
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.
Technical skills:
- 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.
- Analytical mindset with the ability to solve complex problems and develop innovative solutions.
- Excellent communication skills for conveying technical concepts to diverse audiences.
- Proven teamwork and multitasking capabilities.
- 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.