AI/ML Engineer II

1 day ago


Singapore Astreya Inc. Full time

AI/ML Engineer II page is loaded## AI/ML Engineer IIlocations: Singapore, Singaporetime type: Full timeposted on: Posted Todayjob requisition id: R # Job SummaryWe are seeking a highly motivated and experienced AI/ML Engineer Level 2 to join our innovative team. The successful candidate will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that drive our services forward. This role requires a strong understanding of machine learning principles, proficiency in relevant programming languages and frameworks, and the ability to work collaboratively in a fast-paced environment.# Responsibilities* Design, develop, and deploy machine learning models and algorithms.* Work with large datasets to extract insights and build robust data pipelines.* Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.* Optimize and fine-tune machine learning models for performance and scalability.* Conduct research and stay up-to-date with the latest advancements in AI/ML.* Participate in code reviews and contribute to maintaining high code quality.* Troubleshoot and debug AI/ML systems and applications.# # Qualifications## Required* Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.* 3+ years of experience in AI/ML engineering or a similar role.* Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).* Strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning.* Experience with data preprocessing, feature engineering, and model evaluation.* Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices.* Excellent problem-solving skills and attention to detail.* Strong communication and teamwork abilities.## Preferred* Experience with distributed computing frameworks (e.g., Spark, Hadoop).* Knowledge of deep learning architectures and techniques.* Experience with containerization technologies (e.g., Docker, Kubernetes).* Contributions to open-source AI/ML projects. #J-18808-Ljbffr


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