ML Research Engineer
- Implement solutions using advanced large language models (LLMs) or vision language models (VLMs) to address real-world challenges.
2 days
Machine Technician Jobs in Singapore - October 2026 - Urgent Hiring - Page 4
Showing 1,068 jobs results for
"machine technician"
in Singapore
Senior Machine Learning Engineer
- Develop and fine-tune Large Language Models (LLM) and embeddings for Atlassian’s unique knowledge and enterprise data.
2 days
- TikTok Live is a world-leading live streaming platform serving hundreds of millions of users globally. By joining us, you will step into one of the industry's most challenging environments, characterized by massive scale, high concurrency, and complex global adversarial scenarios.This role offers immense potential for professional growth and the opportunity to apply cutting-edge AI technologies in real-world applications. You will protect the safety and financial security of our global community, setting new benchmarks for industry risk control.
2 days
2 days
2 days
Applications Vision Engineer (AOI Pick - Place Machine)x4
- Setup and troubleshooting of semiconductor equipment (AOI).
2 days
Machine Learning Engineer
- Design, build, and optimize scalable, enterprise-grade AI agent systems for high-performance, production environments.
2 days
Senior Engineer, Machine Learning
- Design, develop, test, and deploy Python-based applications that automate research, synthesize competitive and market intelligence, and support strategic analysis and communication.
2 days
ML-AI Engineer
- Agentic AI Architecture: Design the end-to-end architecture for FAM agentic AI solutions, including agent orchestration, workflow design, state management, tool integration, human approval points and system interactions, using suitable frameworks such as LangGraph or CrewAI. Architecture decisions are subject to consultation with DSAD’s Platform Team.
2 days
Technical Engineer – (AI - Learning Applications)
- Job Overview:
2 days
Senior ML-AI Engineer
- MLOps/AIOps Platform Engineering: Design and implement reusable platform components and golden paths for experiment tracking, model registry, pipeline orchestration, deployment, monitoring, feedback and retraining using Databricks, MLflow and approved AWS services.
2 days
Senior Engineer – Vision and Automation
- Develop control software for precision, high-throughput automated equipment.
2 days
- Build AI agents, workflows, tools and automations that solve real customer, product and operations problems.
1 day
- Deep Learning Model Implementation & Product Development Ownership: Build, train, evaluate, and maintain CNN/U-Net/ViT models for automated inspection and measurement. Own model performance end-to-end — ablation studies, confidence calibration, product development performance monitoring.
1 day
Machine Learning Engineer
- We are looking for a mid-senior MLOps Engineer to join the Artificial Intelligence Development Office - Company's in-house AI team.
1 day
Artificial Intelligence Engineer
- As an AI Engineer, you will work with our tech team to improve our 2D/3D vision models and bring small language model (SLM) and retrieval-augmented generation (RAG) capabilities to edge devices. You will also help build the testing, validation, and documentation that meet the standards of regulators such as the HSA and FDA.
1 day
- Experiment Tracking & Evaluation Reporting: Own MLflow experiment logging for assigned team model runs; conduct model evaluations using standard metrics; produce structured evaluation reports reviewed by team. Your reports directly inform model iteration decisions.
1 day
Scientist
- Fusion diagnostics and data analysis: Analyse and interpret experimental diagnostic data, including signal processing, data curation, diagnostic reconstruction, validation, and the development of robust analysis workflows.
1 day
AI-ML Engineer
- Translate project requirements into a documentedML problem, measurable acceptance criteria and a data collection plan.
1 day
1 day
- Build assistive animation tooling, drawing on motion synthesis, motion matching/blending, retargeting, and physics-based character control, to remove mechanical steps from the animator’s workflow.
1 day
ML-AI Engineer (Fraud Analytics Model) - Government Project
- Role Overview
1 day
Forward Deployed AI Engineering
- Lead technical delivery from initial problem definition through implementation, deployment, and subsequent optimisation.
3 days
Engineering Lead – Data, Search - AI
- Technical Strategy and Roadmap: Assess existing systems, identify architectural gaps and define a technical roadmap across data, search and AI. Prioritise investments and determine what to improve, simplify, replace or rebuild.
2 days
Senior ML-AI Engineer
- We're Hiring: Senior ML/AI Engineer!
2 days
ML-AI Engineer - Agentic AI - Fraud Analytics (Public Sector)
- At Xtremax, we're looking for an ML/AI Engineer to build AI-powered systems that help identify emerging fraud risks and improve fraud detection. You'll work with a Data Science and AI team developing the next generation of fraud analytics capabilities, supporting the detection of misuse of public training subsidies.
2 days
Senior ML-AI Engineer - AWS, Databricks - MLOps (Public Sector)
- At Xtremax, we're looking for a Senior ML/AI Engineer to help build the engineering foundations that make machine learning and AI systems reliable in production. Working across AWS and Databricks, you'll help turn experiments and notebooks into maintainable services, reusable pipelines and operational AI capabilities.
2 days
Software Engineer - AI
- Build production AI applications and services: Design backend services, APIs, integrations, and LLM-powered agent workflows that solve problems for internal users.
2 days
ML-AI Engineer - Agentic AI - Fraud Analytics (Public Sector)
- Design end-to-end agentic AI architectures, including workflow orchestration, state management, tool integration and human approval points.
2 days
Senior ML-AI Engineer - AWS, Databricks - MLOps (Public Sector)
- Design and implement reusable MLOps/AIOps components for experiment tracking, model registry, workflow orchestration, deployment, monitoring, feedback and retraining.
2 days