AI Engineer - Product Intelligence

COMTECNOVA PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

COMTECNOVA PTE. LTD. in Singapore seeks a hands‑on AI/ML engineer to own end‑to‑end projects, from problem framing to deployment across cloud, edge, or embedded environments.

You will work with product, hardware, embedded, cloud, and domain engineers to deliver intelligent sensor and energy solutions. Strong Python and ML/DL experience required, with collaboration across teams.

Qualifications

• Bachelor's degree or above in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field.
• At least 3 years of relevant experience in AI engineering, machine learning, deep learning, data science, or algorithm development.
• Strong Python programming skills.
• Hands-on experience with PyTorch, TensorFlow, scikit‑learn, or similar frameworks.
• Solid understanding of model development, evaluation, experimentation, error analysis, and performance improvement.
• Experience working with real‑world sensor, time‑series, telemetry, image, or operational data.
• Ability to independently plan, execute, and deliver end‑to‑end AI or machine learning projects.
• Familiarity with Git, automated testing, APIs, documentation, and CI/CD.
• Good communication skills and ability to work with cross‑functional engineering teams.

Responsibilities

• Develop and evaluate ML/DL models for sensor intelligence, forecasting, classification, anomaly detection, optimization, and predictive diagnostics.
• Analyze sensor, time‑series, telemetry, image, and operational data.
• Work with domain experts to define data requirements, features, labels, evaluation metrics, and acceptance criteria.
• Build prototypes, conduct experiments, compare technical approaches, and perform error analysis.
• Optimize and package validated models for cloud, edge, embedded, or hybrid deployment.
• Independently lead assigned AI projects from problem definition and technical design through development, testing, integration, and deployment.
• Collaborate with software, hardware, embedded, cloud, data, and MLOps teams to deliver production‑ready AI solutions.
• Use AI‑assisted coding tools to improve development, testing, debugging, documentation, and technical research.

Skills

Python

ML Development

Cross-functional teamwork

C/C++

English proficiency

Data analysis

Education

Bachelor's degree (CS/AI/Data Science/Engineering)

Tools

PyTorch

TensorFlow

scikit-learn

Git

APIs

CI/CD

Docker

Kubernetes

Job description

Job Summary

The role will focus on areas such as sensor-based presence detection, energy optimization, anomaly detection, predictive diagnostics, intelligent control, and edge AI deployment. Potential projects may include mmWave radar-based presence detection, HVAC and thermostat energy‑saving algorithms, Home Energy Management Systems, and device intelligence.

The successful candidate should have strong hands‑on AI/ML development skills and the ability to independently own and deliver projects while working closely with product, hardware, embedded, cloud, and domain engineering teams.

Responsibilities

• Develop and evaluate ML/DL models for sensor intelligence, forecasting, classification, anomaly detection, optimization, and predictive diagnostics.


• Analyze sensor, time‑series, telemetry, image, and operational data.


• Work with domain experts to define data requirements, features, labels, evaluation metrics, and acceptance criteria.


• Build prototypes, conduct experiments, compare technical approaches, and perform error analysis.


• Optimize and package validated models for cloud, edge, embedded, or hybrid deployment.


• Independently lead assigned AI projects from problem definition and technical design through development, testing, integration, and deployment.


• Collaborate with software, hardware, embedded, cloud, data, and MLOps teams to deliver production‑ready AI solutions.


• Use AI‑assisted coding tools to improve development, testing, debugging, documentation, and technical research.

Required Qualifications

• Bachelor's degree or above in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field.


• At least 3 years of relevant experience in AI engineering, machine learning, deep learning, data science, or algorithm development.


• Strong Python programming skills.


• Hands‑on experience with PyTorch, TensorFlow, scikit‑learn, or similar frameworks.


• Solid understanding of model development, evaluation, experimentation, error analysis, and performance improvement.


• Experience working with real‑world sensor, time‑series, telemetry, image, or operational data.


• Ability to independently plan, execute, and deliver end‑to‑end AI or machine learning projects.


• Familiarity with Git, automated testing, APIs, documentation, and CI/CD.


• Good communication skills and ability to work with cross‑functional engineering teams.

Preferred Qualifications

• Experience with mmWave radar, signal processing, sensor fusion, presence detection, or activity recognition.


• Experience with edge AI, ONNX, TensorRT, model compression, or embedded deployment.


• Experience with energy optimization, HVAC, HEMS, EV charging, predictive maintenance, or control algorithms.


• Familiarity with MLOps tools such as MLflow, Docker, Kubernetes, or model monitoring.


• Working knowledge of LLM applications, AI agents, tool calling, or agent workflows.


• Experience translating AI prototypes into reliable production solutions.


• Proficiency in C or C++ is an advantage.


• Professional proficiency in English; Mandarin or Cantonese is an advantage.