AI Engineer

7 days ago


Singapore TRIDENT DIGITAL TECH PTE. LTD. Full time
Roles & Responsibilities

Job Summary:

We are seeking an experienced AI Engineer to join our tech team and develop cutting-edge artificial intelligence solutions. You will work closely with data scientists, software engineers, and product managers to design, develop, and deploy AI-powered applications that enhance business processes and user experiences.

Key Responsibilities:

  • Develop AI Models: Design, train, and optimize machine learning (ML) and deep learning (DL) models for real-world applications.
  • Data Processing: Collect, clean, and preprocess large datasets for AI model training and evaluation.
  • Algorithm Development: Implement AI-driven solutions for tasks like computer vision, NLP, recommendation systems, and predictive analytics.
  • Model Deployment: Deploy AI models in production environments using cloud platforms (AWS, GCP, Azure) and ML frameworks (TensorFlow, PyTorch).
  • Performance Optimization: Continuously monitor and improve AI models for efficiency, scalability, and accuracy.
  • Collaboration: Work with cross-functional teams, including software developers and product managers, to integrate AI into company products.
  • AI Research & Innovation: Stay updated with the latest advancements in AI and apply innovative approaches to improve existing solutions.

Required Qualifications:

  • Education: Bachelor's or Master's in Computer Science, AI, Data Science, or a related field (Ph.D. is a plus).
  • Experience: 2+ years of experience in AI/ML engineering, with hands-on experience in developing and deploying AI models.
  • Programming Skills: Proficiency in Python, R, or Java, with experience in ML libraries like TensorFlow, PyTorch, Scikit-learn.
  • Cloud & DevOps: Experience with cloud-based AI services (AWS SageMaker, Google AI, Azure ML) and containerization (Docker, Kubernetes).
  • Big Data & Databases: Knowledge of SQL/NoSQL databases, data pipelines, and distributed computing frameworks (Hadoop, Spark).
  • AI Ethics & Bias Mitigation: Understanding of responsible AI principles and best practices.

Preferred Qualifications:

  • Experience with real-time AI applications (e.g., chatbots, autonomous systems).
  • Knowledge of MLOps, CI/CD for AI pipelines.
  • Familiarity with edge AI and IoT-based AI applications.
Tell employers what skills you have

TensorFlow
Machine Learning
Kubernetes
Azure
Big Data
Pipelines
Hadoop
Artificial Intelligence
Computer Vision
PyTorch
Python
Docker
GCP
Data Science
Java
Databases
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