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Astreya

AI/ML Engineer II

Reposted 13 Days Ago
Be an Early Applicant
In-Office
Singapore
Mid level
In-Office
Singapore
Mid level
The AI/ML Engineer will design, develop, and deploy machine learning models, collaborate with teams, and optimize algorithms while ensuring code quality.
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Job Summary

We 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.

QualificationsRequired
  • 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.

Top Skills

AWS
Azure
Docker
GCP
Hadoop
Kubernetes
Python
PyTorch
Scikit-Learn
Spark
TensorFlow

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