Average salary: SG$10,472 /monthly
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- ...Responsibilities Design highly scalable, mission-critical market-data provider services. Build and productionize services and libraries for Alpaca’s streaming and historical market-data APIs. Maintain software quality and test coverage. Participate in code reviews...
- ...Responsibilities Design and implement scalable pipelines for telemetry, logs, sensor data, and cloud-software ingestion and processing. Develop and maintain robot-side data ingestion agents for high-volume collection in low-connectivity environments. Develop data formats...
- ...repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. About The Role Join the cutting-edge team building the...
- ...the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every... ...selling, business case definition, ROI analysis, references and analyst data. Manage the end-to-end sales process through engagement of...Remote job
- ...competitors, AI trends, publications, communities, influencers, analysts, and technology ecosystems. ~ Identify partnership, collaboration... ...and partnership activities. ~ Continuously optimize outreach strategies through testing and data-driven insights....Remote job
- ...Responsibilities Own the real-time telemetry and asset dispatch data path from the edge through streaming ingestion, the warehouse, and back to field assets. Define service-level objectives, freshness and gap detection, alerting, observability, escalation paths, and operational...
30 - 45 SGD per hour
...What You’ll Do Enter and update information into online systems and spreadsheets Review data for accuracy and completeness Organize files and maintain digital records Follow simple instructions and meet daily or weekly deadlines Communicate with team members when...Remote job- ...support for SaaS AI services and custom applications. Design and implement secure connectors and ingestion pipelines for enterprise data sources such as knowledge bases and document repositories. Define and implement AI security controls, including IAM policies, network...
- ...the CTO. At Xapo, we are building truly cross-functional teams with full ownership of design, architecture, building, testing, delivery, data, and operations, structured as Stream Aligned Teams (SATs), Platform teams and Enabling teams as per Team Topologies. You will...
- ...applications, generative AI solutions, and advanced analytics platforms. Develop machine learning algorithms, model architectures, data pipelines, feature engineering processes, and model training environments. Support cloud-based AI deployments, model operationalization...
- ...sales, product operations, and customer success to drive funnel outcomes. Instrument growth surfaces, measure experiments, close the data loop, and report results. Conduct quality audits and participate in customer discovery calls and feedback sessions. Champion data...
- ...Tempo, and Alertmanager observability stack. Operate GKE clusters, Helm-packaged workloads, RabbitMQ and IBM MQ message brokers, and data stores in production. Participate in follow-the-sun on-call from APAC hours, triage alerts, lead incident debugging and escalation,...
- ...scaling of AI-enabled solutions and workflows. Architect secure, scalable, maintainable integrations across enterprise applications, data platforms, and operational systems. Guide technical decisions, architecture, code reviews, technical reviews, governance, and...
- ...reviews, and team collaboration. Write robust unit and end-to-end tests. Requirements Bachelor’s degree in Computer Science, Data Science, Bioinformatics, or a related field, or equivalent work experience in lieu of a degree. At least three years of experience with...
- ...companies with strong engineering practices. Strong frontend capability in either visual and interaction craft or component systems and data flow. Experience with React, TypeScript, GraphQL, Apollo, and Playwright is useful; curiosity can substitute for experience with any...
- ...for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge...
- ...and non-technical audiences ~ Cross-functional leadership across Sales, Customer Success, Product, Engineering, Implementation, and Data teams ~ Startup or high-growth environment experience preferred ~ Advanced degree such as an MBA, MS, or clinical degree is a nice-...
- ...Responsibilities Implement and enforce best practices for data streaming, processing, analytics, and monitoring infrastructure. Deploy and manage services on Kubernetes platforms including Amazon EKS and Google Kubernetes Engine. Provision and manage secure, scalable...
- ...functional safety and deep learning safety techniques. Collaborate with machine learning, hardware, and core software teams to keep data pipelines, models, and middleware within defined safety envelopes. Develop and optimize software for Linux and real-time operating systems...
- ...components, and engineering standards for enterprise AI. Build secure integrations with the Anthropic API, Claude models, enterprise APIs, data sources, workflow systems, and authorized tools. Establish CI/CD, versioning, testing, evaluation, release, rollback, monitoring,...
- ...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and...
- ..., Kubernetes, Bitbucket, and Terraform. Experience or knowledge of API, functional, integration, regression, white box, risk-based, data-driven, behavior-driven, or keyword-driven testing. Experience using Jira or Azure DevOps for defect tracking and management. Bachelor...
- ...time — to succeed faster, build better, and accelerate the global transition to clean energy. PVcase ends clunky processes and corrupted data to clear the path to a net-zero economy. Whether you use a single product or plug into the entire platform, our end-to-end site...
- ...productivity tools. You will work on active development initiatives—such as AI-powered case summarization, bulk messaging features, and real-time data sync between Salesforce and the corporate data lake (Snowflake)—while actively rotating through operational support duties to guarantee...Remote job
- ...Business Analyst Job Summary We are looking for an experienced Business Analyst to join the Application team. The successful candidate... ..., processing, and retention of the information you provide. The data collected (which may include your contact details, educational...Remote job
- ...automotive, robotics, or comparable regulated domains. ~ Deep expertise in deep convolutional neural networks, multi-object tracking, data association, supervised learning, and pose estimation. ~ Experience making system-level tradeoffs involving sensing modalities,...
- ...You will work with customers on exciting IoT and server platforms and technologies, built to support different verticals: from robots to data centers, from telco to retail. What we are looking for in you You love technology and working with brilliant people You have a...
- ...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and...
- ...enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and...
- ...learn and improve over time. Specifically: We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions. We focus on industrial applications, which tend to be well-sensorized with measurable KPIs —...

