Artificial Intelligence Engineer

Talent Link by e2i; Singapore; On-site; SGD 70,000 - 120,000; Full time

Job summary

Talent Link by e2i invites a data scientist to join our startup-focused Industry Partner programme. The role involves developing predictive maintenance AI models, processing sensor data, deploying models to production, and collaborating with engineers to improve data pipelines.

You will stay current with AI research, create experiments with real machine data, and contribute to reliable on-site IoT deployments and field installations across client sites in Singapore.

Responsibilities

• Design and implement ML/DL models for Predictive Maintenance applications.
• Analyze, understand, and pre-process sensor data streams to identify patterns predicting failures.
• Deploy AI models to production environments and monitor performance.
• Collaborate with engineers to improve data pipelines and model accuracy.
• Research and translate state-of-the-art AI techniques into deployable solutions.
• Develop tools to monitor model behavior in real-time and ensure reliability.
• Document models and plans for IoT deployments, installations, and client-site requirements.

Job description

Talent Link by e2i is a programme to match candidates to job opportunities offered by e2i’s Industry Partners. Applicable for Singaporeans and Singapore Permanent Residents only.

This job opportunity is from our Industry Partner in the Startup space.

Job Descriptions

1. Predictive Maintenance AI Model Development:

• Design and implement machine learning and deep learning models for our Predictive Maintenance applications.
• Optimize models for performance, scalability, and accuracy.

2. Data Processing and Analysis:

• Analyze, understand, and pre-process sensor data streams to identify patterns that predict equipment and industrial asset failures beforehand.
• Perform exploratory data analysis to identify patterns and insights.

3. Deployment and Maintenance:

• Deploy AI models to production environments using best practices.
• Monitor, maintain, and update deployed models to ensure ongoing relevance and performance.
• Build scalable, real-time models for low-latency predictions.

4. Collaboration and Problem Solving:

• Collaborate with engineers to improve data pipelines and enhance model accuracy.
• Identify AI opportunities within existing workflows and propose innovative solutions.

5. Research and Innovation:

• Stay updated with the latest advancements in AI technologies and methodologies.
• Research and stay up to date with academic literature and state-of-the-art condition monitoring techniques, translating these ideas and innovations into workable and deployable solutions.
• Work with the engineering team to create experiments and failure datasets; you will use real data from machines to validate your hypotheses, develop new models, and improve current models.

6. Performance Monitoring:

• Develop tools and frameworks to monitor model behavior in real-time and enable.
• Troubleshoot issues and ensure model reliability under varying conditions.
• Continuously improve and validate models based on real-world performance, test results, and feedback.

7. Documentation and Reporting:

• Document AI models, processes, and systems for internal use.
• Create reports on AI performance metrics and insights for stakeholders.
• Plan and execute IoT hardware deployments tailored to client site requirements.
• Perform on-site installation and configuration of our software and hardware solutions at locations.
• Coordinate with internal teams to ensure smooth installation, integration, and commissioning of devices.
• Maintain the stability and reliability of deployed IoT systems to ensure uninterrupted data flow and operation.
• Provide on-site and hands-on technical support to resolve client hardware-related.
• Ensure all deployments adhere to safety, quality, and industry standards.
• Work with QA to validate device performance and system reliability.
• Ensure compliance with safety regulations and company installation standards.