AI & Computer Vision Engineer

THALES SOLUTIONS ASIA PTE. LTD.

Singapore

On-site

SGD 70,000 - 120,000

Full time

14 days+

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Job summary

Thales Solutions Asia PTE. LTD. in Singapore is seeking an experienced Data Science & AI Engineer to develop intelligent systems that transform operational data into actionable insights, enabling data-driven decisions through AI and analytics.

You will build and deploy computer vision and ML solutions, design scalable data pipelines, collaborate with Engineering and Operations, and contribute to POC projects while keeping abreast of new AI technologies.

Qualifications

Bachelor’s or Master’s degree in Engineering, CS, with AI/Data Science specialization.
At least 1 year of software engineering experience building and deploying AI/ML-powered applications.
Hands-on experience in computer vision and machine learning with portfolio.
Proficiency in Python, C++, or C; experience with TensorFlow, PyTorch, OpenCV and MLOps concepts (KubeFlow).
Strong analytical and communication skills.

Responsibilities

Develop and deploy computer vision algorithms, ML models, and AI solutions to address business challenges such as object detection, anomaly detection, classification, behaviour analysis, and intelligent data querying.
Design, build, maintain, and automate scalable data pipelines to collect, clean, and transform operational data for AI and analytics applications.
Collaborate closely with stakeholders across Engineering, Operations, and Centres of Excellence to gather requirements, identify opportunities, and propose practical AI-driven solutions.
Lead and contribute to agile proof-of-concept (POC) projects, conducting experiments in realistic environments to validate, optimize, and ensure the robustness of AI models for deployment.
Transform existing operational processes by applying Data Science and AI to improve efficiency, automate manual workflows, and enable data-driven decision-making in manufacturing, test, and maintenance operations.
Stay current with the latest advancements in AI, machine learning, computer vision, and data engineering, proactively exploring and championing innovative technologies that create business value.
Produce high-quality technical documentation, contribute to patentable innovations, share knowledge through technical presentations, and, for Senior Engineers, provide technical leadership and mentorship within the AI and computer vision domain.