AI/ML Engineer II

Reposted 8 Days Ago
Be an Early Applicant
Singapore
In-Office
Mid level
Information Technology
The Role
The AI/ML Engineer will design, develop, and deploy machine learning models, collaborate with teams, and optimize algorithms while ensuring code quality.
Summary Generated by Built In
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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The Company
HQ: San Francisco, California
1,958 Employees
Year Founded: 2001

What We Do

Astreya is the leading IT solutions provider for some of the world's most recognizable and innovative organizations. Our journey started in 2001 in the heart of Silicon Valley and reaches thirty-three countries with over 2200+ IT professionals. We enable businesses to make better decisions, achieve operational efficiency and gain a competitive edge. The Astreya advantage is centered around focus and clear- vision, world-class talent, and innovative technology: Creativity is in our DNA. Our dedicated Software and Service Innovation teams bring best-in-class technology and tools to bear for our clients.

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