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- ...-time threat indicator enrichment, metadata extraction, scanning, and enrichment systems. Build threat graph intelligence systems modeling relationships among indicators, malware, infrastructure, and actors. Design and maintain sandboxing and detonation capabilities with...
- ...~ Proficiency in at least one relevant programming language, preferably Python. ~ Understanding of generative AI, large language models, prompt engineering, and foundational AI/ML principles. ~ Experience applying security principles to AI systems, including data protection...
- ...regulated crypto bank, security is not a checkbox or a separate workstream, it is the DNA of our products. You will set the threat-modelling, secure-by-default and defence-in-depth patterns that every team builds against, and partner with our Security function to evolve them...
- ...Identify and reduce security risk across AWS, Kubernetes, containerized workloads, and platform infrastructure. Conduct threat modeling, architecture reviews, and technical risk assessments for platform and infrastructure systems. Partner with infrastructure, platform...
- ...Experience with Google Cloud Platform and BigQuery, including architecting, deploying, and operating scalable services. ~ Experience modeling, querying, and optimizing MongoDB schemas for performance at scale. ~ Solid testing discipline across unit, integration, and end-to...
- ...available signing and transaction infrastructure with reliable developer-facing APIs. Set technical direction for wallet security, threat modeling, policy engines, secrets management, account recovery, authentication, and programmable authorization. Make build-versus-buy and...
- ...Design, develop, deploy, and maintain enterprise-scale artificial intelligence and machine learning solutions. Create predictive models, natural language processing applications, generative AI solutions, and advanced analytics platforms. Develop machine learning algorithms...
- ...Responsibilities Define and execute test plans across products, APIs, SDKs, model-powered features, and data platforms. Build and maintain automated test suites and frameworks for functional, integration, end-to-end, regression, API, browser, and service-level testing...
- ...primary focus is to challenge the entire team to think more deeply about security through state-of-the-art practices such as threat modeling, table-top exercises, architecture and design reviews, static analysis tools, and fuzzing, among others. These roles encompass all...
- ...revolutionise open source application and infrastructure operations. We want to transform the world of software operations by enabling true model-driven operations via next-generation infrastructure-as-code. This will allow companies to run very efficient bare-metal operations...
- ...evaluation, and deployment workflows. Develop reliable workflows across cloud compute, Kubernetes, and continuous automation. Build model registry, feature store, experiment tracking, and related ML infrastructure components. Own developer-facing APIs and CLI tools...
120000 - 180000 SGD per annum
...focus on mission outcomes. Experience using Generative AI as a productivity tool and creating services that leverage large language models. Experience with configuration management and orchestration tools such as Ansible, Chef, Salt, or Puppet. Experience in a...- ...productivity, code quality, testing, documentation, and troubleshooting. Apply AI responsibly by validating outputs, understanding model limitations, and maintaining accountability for delivered solutions. Leverage AI for code generation, automated test creation, debugging...
- ...distributed systems Performance engineering – from kernel to web – benchmarks, optimization Software security – fuzzing, tabletop threat models, analysis, audit Build systems and toolchains, including for cross-compilation Public clouds or OpenStack Debian/Ubuntu...
- ...REST APIs, and SQL, with familiarity with TypeScript, React, and AWS. Strong understanding of distributed-systems tradeoffs, data modeling, API design, and performance tuning at scale. Deep understanding of testing and delivery practices, including pytest and CI/CD....
- ...marketing Design and maintain APIs used by our own applications and external systems Work with complex business logic spanning models, services, jobs, events and integrations Build real-time functionality on high-frequency queues, Redis, events and WebSockets Investigate...
- ...Responsibilities Set the technical direction for Payabli’s model portfolio, including existing transaction- and merchant-risk models and new payments lifecycle models. Establish experimentation workflows, model monitoring, drift detection, performance benchmarking, retraining...
- ...handoff Lead executive workshops that identify high-value workflows and produce prioritized use-case portfolios Recommend engagement models including in-surface enrichment, callable tools, bespoke skills, and insight-to-action workflows Define business cases, ROI...
- ...datasets and flag ambiguities that could compromise results. Build infrastructure and pipelines that run evaluations consistently across model APIs and terminal agents. Create lightweight containerized evaluation environments and viewers for tasking and tool-use assessment....
- ...that maintain appropriate human oversight. Develop and run agent evaluation frameworks in development and production. Instrument model and tool calls and build observability and measurement connecting agent actions to pipeline and revenue. Ship MCP servers, agent...
- ...carrying a small book of our most strategic accounts. You keep your region running to one global standard and stay hands-on enough to model it. Location: APAC - remote. Key Responsibilities: Lead and develop the team Lead, coach, and develop a regional team...
- ...assembler Runtime performance insights - Golang, Python, JVM, NodeJS Database performance evaluation - plans, indexing, data modelling, tracing, monitoring Web browser performance insights - JS, web frameworks, tracing, CSS Performance measurement tooling - profiling...
- ...templates, integration 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,...
- ...development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model lets you tackle international challenges, collaborate with diverse teams, and grow your career while being part of a company that...Remote job
- ...system architecture for Digit’s perception systems in structured and dynamic environments. Analyze tradeoffs across sensing modalities, model design, redundancy, safety, latency, robustness, and embedded compute budgets. Prototype, validate, and build critical perception...
- ...into four concrete areas of responsibility: You will use Phaidra’s products and your knowledge of the customers' needs to create a model of the facility for ingestion by our product lineup. This will require working closely with our Data Science team. You’ll understand the...
15000 SGD per annum
...and financial-correctness requirements. Partner with machine-learning scientists and engineers to create scalable boundaries between models and production pricing systems. Clarify service, API, configuration, and ownership boundaries across multiple platform teams....- ...experimentation, evaluation, simulation, and production-pipeline tooling, including support for rapid prototyping in Jupyter notebooks. Organize models and outputs for repeatability and discoverability. Debug across third-party binaries, undocumented formats, external code, and...
- ...Evaluate and improve agent behavior using evaluation sets, seller feedback, usage data, quality signals, prompts, tools, retrieval, and models. Build evaluation frameworks, regression pipelines, release checks, escalation paths, and reliability guardrails. Own the...
- ...verify AI-generated code and tests. Own applied AI projects from prototype through production, including data needs, system design, model or vendor selection, rollout, monitoring, and iteration. Deliver customer-facing AI outcomes with product, design, and data/ML...