
Machine Learning Engineer
1 day ago
Job Summary SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer, you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to build and deliver AI/ML use cases that will augment our users in their work or enable business opportunities. By enhancing our machine learning platform, you will enable us to make data-driven decisions and drive innovation across the organization. This is a 2-year contract role with an option for extension. Job Responsibilities Design and build scalable data platforms (including machine learning platforms) to support AI/GenAI use cases, streamline data storage, democratization, model deployment, and support feature engineering, model training, deployment, model monitoring and inference. Develop and integrate data pipelines for continuous development, integration, testing, and scalable machine learning services. Migrate existing data science projects to the new cloud machine learning platform. Collaborate with data scientists and data engineers to design, implement, and integrate data pipelines. Improve/automate existing model training, feature engineering, and evaluation pipelines, enabling the feedback loop of taking in labelled data from users/source systems for model re-training/tuning. Design and develop CI/CD pipeline, consistent logging, tracking, and monitoring of pipelines and model performance to ensure consistent model performance and alert mechanisms for model drift. Support data extraction and transformation for projects and users’ needs. Review, support, improve, and run the platform, including the existing data platform/machine learning server, and environment management. Provide support for data-related queries, extraction, and discrepancies. Stay abreast of and analyze industry developments to identify areas of continuous improvement. Job Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 2-4 years of experience in setting up a machine learning platform, developing and deploying machine learning models and AI solutions. Familiarity with machine learning platforms, LLM, Lang Chain. Proficiency in Python, SQL, and modern AI/ML algorithms, with experience in deploying solutions into production. Experience with GCP/Vertex AI is a plus. Highly driven, proactive, and a strong team player. Excellent interpersonal, written, and verbal communication skills in English. Ability to multitask effectively and handle large amounts of data. Job Segment: Computer Science, Database, SQL, Learning, Technology, Human Resources #J-18808-Ljbffr
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Machine Learning Engineer
3 days ago
Singapur, Singapore SGX Group Full timeOverview Machine Learning Engineer role at SGX Group . SGX is looking for a Machine Learning Engineer who is passionate about building scalable data/machine learning platforms and pioneering solutions. As a Machine Learning Engineer, you will play a crucial role in transforming how we run and deploy AI/ML models. Your work will directly impact our ability to...
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Machine Learning Engineer
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Singapur, Singapore Nicoll Curtin Full timeGet AI-powered advice on this job and more exclusive features. Direct message the job poster from Nicoll Curtin Tech Recruiter @ Nicoll Curtin. Love people and tech. 7yrs DevOps - AWS, Terraform, CICD, Kubernetes Are you a Senior Machine Learning Engineer who wants to push the boundaries of computer vision and AI in real-world identity verification? Here's a...
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Singapur, Singapore WeRide Full timeJoin or sign in to find your next job Join to apply for the Machine Learning Engineer - Singapore role at WeRide Join to apply for the Machine Learning Engineer - Singapore role at WeRide Get AI-powered advice on this job and more exclusive features. Established in 2017, WeRide (NASDAQ: WRD) is a leading global commercial-stage company that develops...
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Singapur, Singapore Yep Full timeThat is a lot of computing power, so why do we need it? We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack—ranking it among...
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Machine Learning Engineer
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