AI Engineer

SINO ECO-AGRICULTURE PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

SINO ECO-AGRICULTURE PTE. LTD. is seeking an AI Engineer to design, develop, and implement AI systems that solve real-world business problems.

You will apply machine learning, deep learning, data science, and software engineering to create intelligent applications that analyze data, automate processes, and enhance decision-making. You will collaborate with data scientists, software engineers, and domain experts to translate requirements into robust AI solutions, preprocess large datasets, train

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, or related field.
• Proven experience with Python, Java, or C++ for AI applications.
• Strong knowledge of ML/DL frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
• Solid understanding of algorithms, data structures, statistics, and mathematics.
• Experience with Pandas, NumPy, and SQL/NoSQL databases.
• Experience deploying AI in production and collaborating with cross-functional teams.

Responsibilities

• Develop, test, and deploy AI models using ML, DL, NLP, and CV techniques.
• Collaborate with data scientists, software engineers, and domain experts.
• Preprocess and manage large datasets for training and validation.
• Optimize models for performance and scalability in production.
• Integrate AI solutions into existing systems via APIs or embedded software.
• Monitor, troubleshoot, and update models to improve accuracy.
• Document architectures and processes for reproducibility and compliance.

Skills

Python

Java

C++

Algorithms & Math

Education

Bachelor's or Master's in CS/DS/AI

PhD preferred

Tools

TensorFlow

PyTorch

Keras

Scikit-learn

Pandas

NumPy

Job description

Job Summary

An AI Engineer designs, develops, and implements AI systems to solve complex problems across industries by applying machine learning, deep learning, data science, and software engineering to create intelligent applications that analyze data, automate processes, and enhance decision-making.

Responsibilities

• Develop, test, and deploy AI models and algorithms using machine learning, deep learning, natural language processing (NLP), and computer vision techniques to address business challenges
• Collaborate with data scientists, software engineers, and domain experts to translate business requirements into effective AI solutions
• Preprocess, analyze, and manage large datasets to train and validate AI models with accuracy and efficiency
• Optimize AI models for performance, scalability, and resource efficiency in production environments
• Integrate AI solutions into existing systems and workflows through APIs or embedded software to enhance functionality
• Monitor and maintain AI systems by troubleshooting issues and updating models to improve accuracy and reliabilityStay current with the latest AI research, tools, and technologies to continuously advance AI capabilities and innovation
• Document AI model architectures, development processes, and results to ensure reproducibility and compliance

Required competencies and certifications

• Proficient programming skills in Python, Java, or C++ to develop and implement AI algorithms
• Experience with AI and machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn for model development
• Strong understanding of algorithms, data structures, statistics, and mathematics relevant to AI applications
• Skilled in data processing tools like Pandas and NumPy, and database management using SQL and NoSQL systems
• Knowledge of cloud platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes) to deploy AI solutions
• Ability to process and analyze unstructured data formats including text, images, and audio for diverse AI applications
• Strong problem-solving skills and ability to collaborate effectively within cross-functional teams

Preferred competencies and qualifications

• Experience deploying AI models in production environments to ensure operational stability
• Familiarity with MLOps practices and tools for continuous integration and delivery of AI models
• Effective communication skills to explain complex AI concepts clearly to non-technical stakeholders
• Passion for innovation and commitment to staying updated with emerging AI trends and breakthroughs
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields; PhD preferred for advanced research roles