Astreya Logo

Astreya

AI/ML Engineer II

Reposted 8 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.
The summary above was generated by AI
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

Similar Jobs

Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Senior Specialist will drive product development strategy for Mastercard's network products, focusing on growth, market engagement, and collaboration across teams.
Top Skills: Data AnalysisData Visualization
13 Minutes Ago
Remote or Hybrid
Singapore, SGP
Senior level
Senior level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The VP of Product Management for Consumer Acquisition & Engagement in SEA will drive product strategy, develop market opportunities, and manage partnerships to enhance Mastercard's consumer engagement solutions, ensuring financial targets are met.
Top Skills: Consumer BankingDigital MarketingEcommerceLoyalty ProgramsPayments Technology
13 Minutes Ago
Hybrid
Singapore, SGP
Entry level
Entry level
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The People Specialist role involves providing HR administrative support, analyzing HR metrics, coordinating onboarding, and improving HR processes for better employee experiences.
Top Skills: Hr AdministrationHr AnalyticsHris

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account