1,100+ Machine Learning Jobs - July 2026 - High Salaries

search.result_querys_job "machine learning"
不要错过任何 Machine Learning 的新工作机会
Undisclosed

KL City

  • Integrate AI models into production environments using containerized platforms such as OpenShift.
  • Implement and maintain network security protocols to safeguard AI systems and data pipelines.
  • Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions. ...
Posted
14 hours ago
Undisclosed

Singapore

  • Translate AI capabilities into user value by deploying, monitoring, and maintaining high-performance LLM pipelines directly within local hospital environments and clinical workflows.
  • Optimize models for real-world constraints, focusing on reducing latency, managing GPU memory footprint, and lowering inference costs so our customers experience a seamless, lightning-fast product.
  • Curate, synthesize, and clean high-quality pre-training and fine-tuning datasets from complex, multi-modal medical records to continuously fuel product iterations. ...
Posted
4 days ago
Undisclosed

Singapore

  • Lead, design, and implement machine learning projects to ensure timely and high-quality deliverables.
  • Collaborate with cross-functional teams to align solutions with business objectives and user needs.
  • Support the deployment of ML models, workflows, and applications into production environments. ...
Posted
6 days ago

APPLOVIN (SINGAPORE) PTE. LTD.

SGD12,000 - SGD12,000 每月

Singapore

  • Tackle cold-start challenges for new users and new content
  • Run offline experiments and online A/B testing to drive measurable gains
  • Collaborate closely with product, engineering, and monetization teams ...
Posted
9 days ago
Undisclosed

Singapore

  • Designing and optimizing distributed training pipelines for high-throughput, GPU-accelerated workloads
  • Improving experiment management, model versioning, artifact tracking, and data lineage to ensure transparent and reproducible research
  • Developing tools and frameworks that streamline feature engineering, dataset generation, and large-scale backtesting ...
Posted
9 days ago
Undisclosed

Jurong East

  • Support experimentation and benchmarking of models, features, and algorithms.
  • Contribute to projects that utilise Large Language Models (LLMs) and Vision‑Language Models (VLMs) for innovative video analytics solutions.
  • Assist in integrating foundation models into end‑to‑end pipelines for tasks such as video reasoning, summarisation, and event analysis. ...
Posted
10 days ago
Undisclosed

Singapore, Singapore

  • Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.
  • Data Infrastructure
  • Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labelling. ...
Posted
12 days ago
Undisclosed

Singapore

  • Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end.
  • Data Infrastructure
  • Collaborate with Data Scientist to build and own data pipelines for ingestion, transformation, versioning, and labelling. ...
Posted
12 days ago
Undisclosed

Singapore

  • Performing error analysis and validation and implementing improvements.
  • Bachelor degree in Artificial Intelligence or a related subject.
  • Experience in applying machine learning (e.g. Tensorflow) on Computer Vision problems. ...
Posted
13 days ago
Undisclosed

KL City

  • Transforming data science prototypes and applying appropriate ML algorithms and tools
  • Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.
  • Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. ...
Posted
14 days ago
Undisclosed

KL City

  • Evaluate and select appropriate Generative AI models (e.g., GPT, DALLE) based on business needs, ensuring alignment with use case requirements.
  • Collaborate with data scientists, engineers, and business stakeholders to design, develop, and fine-tune machine learning models.
  • Create and deploy pipelines for model training, evaluation, and monitoring in Azure ML. ...
Posted
14 days ago
Undisclosed

Singapore

  • Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt ...
Posted
3 days ago
Undisclosed

Singapore

  • Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt ...
Posted
2 days ago
SGD6,000 - SGD6,000 每月

Singapore

  • • Develop, train, validate, and deploy machine learning models for predictive analytics and optimization.
  • • Analyze structured and unstructured datasets to identify trends, patterns, and business opportunities.
  • • Design and implement data pipelines for data collection, cleansing, feature engineering, and model training. ...
Posted
2 days ago
SGD5,500 - SGD5,500 每月

Singapore

  • Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
  • Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
  • Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow. ...
Posted
2 days ago
SGD5,700 - SGD5,700 每月

Singapore

  • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
  • Deploy machine learning models into production environments and integrate them with existing applications through APIs.
  • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions. ...
Posted
2 days ago
Undisclosed
  • Conduct disciplined experiments to test and validate models. Design experimental frameworks, use train validation test splits and cross validation, and interpret results with appropriate statistical significance and confidence intervals.
  • Feature engineering rooted in business and statistical understanding. Create informative features through aggregation, encoding, interaction terms, and time windows; assess feature importance and stability over time.
  • Model evaluation using statistically sound metrics. Evaluate with precision, recall, F1 score, ROC AUC, calibration, confusion matrices, and cost sensitive metrics appropriate to the problem. ...
Posted
a day ago
SGD18,080 - SGD18,080 每月

Singapore

  • Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt ...
Posted
20 hours ago
SGD5,700 - SGD5,700 每月

Singapore

  • Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
  • Deploy machine learning models into production environments and integrate them with existing applications through APIs.
  • Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions. ...
Posted
18 hours ago
Undisclosed

KL City

  • Key Responsibilities
  • Lead the Design: Define and implement robust data architectures utilizing the Databricks ecosystem, including Delta Lake, Unity Catalog, Machine Learning Models and Databricks Workflows .
  • Hands-on Development: Serve as the most senior developer, writing high-quality, production-grade code in PySpark/Scala and SQL for complex batch and streaming ETL/ELT pipelines. ...
Posted
3 days ago
Undisclosed

KL City

  • Optimise model performance to meet strict latency and TPS targets required for real-time fraud decisioning.
  • Conduct model validation, A/B testing, permutation importance analysis, and champion/challenger evaluations to ensure model quality.
  • Work with the Architecture Review Committee (ARC) to align ML platform choices with the overall modernization architecture. ...
Posted
3 days ago
Undisclosed

KL City

  • Standards & Best Practices: Define and enforce technical standards, code quality, testing frameworks (unit, integration), and DataOps/CI/CD pipelines for the engineering team.
  • 8+ years of experience in machine learning, data science, or MLOps, with at least 4+ years focused specifically on the Databricks Lakehouse Platform.
  • Expert proficiency in Python and PySpark/Scala for large-scale data processing and machine learning. ...
Posted
3 days ago
Undisclosed

Queenstown

  • Experience in projects using supervised and unsupervised machine learning methods, such as regression, classification, clustering etc. (especially in atmospheric applications) is an added advantage
  • Experience processing meteorological, air quality, or environmental sensor data is a bonus
  • Strong scientific communication, documentation, and technical writing skills ...
Posted
a day ago
Undisclosed

Singapore

  • Translate AI capabilities into user value by deploying, monitoring, and maintaining high-performance LLM pipelines directly within local hospital environments and clinical workflows.
  • Optimize models for real-world constraints, focusing on reducing latency, managing GPU memory footprint, and lowering inference costs so our customers experience a seamless, lightning-fast product.
  • Curate, synthesize, and clean high-quality pre-training and fine-tuning datasets from complex, multi-modal medical records to continuously fuel product iterations. ...
Posted
5 days ago
SGD5,000 - SGD5,000 每月

Singapore

  • Translate AI capabilities into user value by deploying, monitoring, and maintaining high-performance LLM pipelines directly within local hospital environments and clinical workflows.
  • Optimize models for real-world constraints, focusing on reducing latency, managing GPU memory footprint, and lowering inference costs so our customers experience a seamless, lightning-fast product.
  • Curate, synthesize, and clean high-quality pre-training and fine-tuning datasets from complex, multi-modal medical records to continuously fuel product iterations. ...
Posted
5 days ago
Undisclosed
WFH

Singapore

  • Develop intelligent summarization and information extraction pipelines that process thousands of scraped news articles, press releases, and open-source intelligence into concise, actionable market intelligence reports, leveraging techniques such as intelligent chunking, semantic filtering (embeddings + k-NN), map-reduce patterns, TF-IDF augmentation, and agentic orchestration.
  • Own the development and maintenance of a customer-facing GenAI Q&A chatbot that provides deep, domain-specific insights into semiconductor manufacturing risks based on sensor measurements and test plans.
  • Tackle diverse classical ML problems (regression, classification, clustering, time-series forecasting) and integrate them with GenAI components when hybrid approaches deliver better outcomes. ...
Posted
6 days ago
Undisclosed

Singapore

  • Develop intelligent summarization and information extraction pipelines that process thousands of scraped news articles, press releases, and open-source intelligence into concise, actionable market intelligence reports, leveraging techniques such as intelligent chunking, semantic filtering (embeddings + k-NN), map-reduce patterns, TF-IDF augmentation, and agentic orchestration.
  • Own the development and maintenance of a customer-facing GenAI Q&A chatbot that provides deep, domain-specific insights into semiconductor manufacturing risks based on sensor measurements and test plans.
  • Tackle diverse classical ML problems (regression, classification, clustering, time-series forecasting) and integrate them with GenAI components when hybrid approaches deliver better outcomes. ...
Posted
6 days ago
Undisclosed

Singapore

  • Platform Integration: Design and drive integrations across AIP surfaces (model serving, ML pipelines, data serving, AI infra, AI Automation tooling) so users experience a coherent platform rather than a collection of services.
  • User Experience Translation: Convert pain points surfaced through embeddings, support channels, and direct user work into functional requirements for AIP teams; propose cross-platform solutions that raise the bar for the DS and MLE personas.
  • Enablement at Scale: Produce reference architectures, patterns, and opinionated best-practice guidance so the next hundred ML use cases land on AIP cleanly, without requiring bespoke platform-team involvement every time. ...
Posted
6 days ago
Undisclosed

Singapore

  • Analyze and optimize code for quality, efficiency, and performance
  • Lead complex technical or product efforts and provide technical guidance to peers
  • Architect efficient and scalable systems that drive complex applications ...
Posted
6 days ago
Undisclosed

Singapore

  • Troubleshoot production issues across application, infrastructure, networking, Linux, Kubernetes, and ML serving layers.
  • Strong software/platform engineering fundamentals, including system design, API design, distributed systems, scalability, reliability, observability, authentication/authorization, testing, and maintainable code design.
  • Practical understanding of the ML / LLM lifecycle, including data pipelines, model training/retraining, evaluation, experiment tracking, deployment, monitoring, and production feedback loops. ...
Posted
7 days ago