Ai engineer
At a glance
Mid-level AI Engineering role at Fuku. Singapore · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI models and algorithms around business problems, then refine them for accuracy, speed and scale
- Turn team requirements into AI solutions by working with colleagues across functions
- Prepare training data through preprocessing, feature creation and exploratory analysis
- Create data pipelines, launch models into production and track how they perform
- Investigate system issues and record technical methods and results for stakeholders
What you bring
- A bachelor's or master's degree in computer science, AI, machine learning or a related discipline
- Hands-on experience building and putting AI models into use
- Strong programming ability in Python, R or another relevant language
- Working knowledge of TensorFlow, PyTorch or another listed machine learning framework
- Experience preparing data, creating features and evaluating models
Who this fits
This mid-level role is based on-site in Singapore. It suits someone who can build and deploy AI models and collaborate with teams across functions.
From the employer
About the company:
Arros AI is a cutting-edge technology company specializing in artificial intelligence solutions that empower businesses to innovate and optimize their operations. With a focus on creating scalable and efficient AI systems, Arros AI is committed to driving advancements in machine learning, natural language processing, and data analytics. Our team is passionate about solving complex problems and delivering impactful results for our clients across various industries.
Job responsibilities:
- Design, develop, and implement AI models and algorithms to solve complex business problems.
- Collaborate with cross-functional teams to understand project requirements and deliver AI-driven solutions.
- Conduct research and stay updated on the latest advancements in AI and machine learning technologies.
- Optimize and fine-tune AI models for performance, scalability, and accuracy.
- Develop and maintain robust data pipelines to support AI model training and deployment.
- Perform data preprocessing, feature engineering, and exploratory data analysis.
- Deploy AI models into production environments and monitor their performance.
- Troubleshoot and resolve issues related to AI systems and applications.
- Document technical processes, methodologies, and findings for internal and external stakeholders.
Job requirements:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience in developing and deploying AI models and algorithms.
- Strong programming skills in Python, R, or other relevant languages.
- Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of natural language processing (NLP), computer vision, or reinforcement learning is a plus.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for AI model deployment.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication and collaboration skills to work effectively with diverse teams.
Job benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive health, dental, and vision insurance plans.
- Flexible work hours and remote work options.
- Generous paid time off and holiday policies.
- Opportunities for professional development and continuous learning.
- Access to cutting-edge tools and technologies.
- Collaborative and inclusive work environment.
- Employee wellness programs and initiatives.
- Stock options and retirement savings plans.