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The MLOps Engineer will lead machine learning strategy and development, specifically focusing on Customer 360 initiatives. This is a 6-month contract role.
Design and implement AI-driven security automations for customers, advising on controls and collaborating with sales and success teams to solve real-world security challenges.
The AI Cloud Security Engineer will implement and manage security controls for Generative and Agentic AI workloads on AWS. The role focuses on establishing governance and protection using tools like AWS Bedrock Security Guardrails and CrowdStrike AIDR.
The Senior Full Stack Engineer will build AI-enabled SDLC platform capabilities, including backend services, user interfaces, and agent orchestration flows to support autonomous software delivery.
The AI Solutions Architect will bridge business strategy and enterprise architecture by designing and implementing GenAI and LLM-based solutions. This senior role involves executive stakeholder management and the continuous evaluation of emerging AI technologies.
The Principal Full Stack Engineer will build and scale a GenAI platform to support AI agents across healthcare, legal, and tax industries. The role involves hands-on full-stack development, designing AI agent infrastructure, and implementing observability and CI/CD pipelines using technologies like TypeScript, Python, and various cloud services.
Owns end-to-end Data-as-a-Service products, defining vision, roadmap, and delivery for AI-powered consumer data solutions. Works with engineering, data science, and commercial teams to enhance data delivery (file transfer, APIs, clean rooms) and optimize pricing/distribution for enterprise clients.
An AI pre-sales architect advises Australian enterprises on deploying Claude (LLM) solutions, blending technical expertise with customer-facing skills to design scalable architectures and drive value while ensuring safety compliance.
Pre-sales Solutions Architect helping enterprise customers in Australia integrate Claude into their technology stacks—covering technical discovery, architecture design, eval frameworks, and deployment guidance across the Claude API and Claude for Work.
Designs and pitches scalable LLM solutions to enterprises, guiding them through Claude integration and adoption while collaborating with sales and engineering teams.
The AI Engineer will design, implement, and deploy LLM-based solutions into production to improve infrastructure and building design. The role involves end-to-end development of ML solutions, including data preparation, semantic extraction, and integration into a SaaS platform using Python and modern AI techniques.
Build and productionize AI-powered workflows and ML models for IT management and cybersecurity products, integrating classification, recommendations, and automation into Kaseya’s platform.
Partner Technology Architect at ServiceNow drives partner growth by aligning AI-first solutions with enterprise workflows, advising on platform integration, and accelerating deal velocity through technical strategy and demonstrations.
Build and scale the compute and infrastructure backbone for Odyssey’s AI world models, focusing on low-latency inference, GPU training clusters, and petabyte-scale data pipelines.
Lead Data Scientist builds and deploys predictive models and causal inference methods to forecast user behavior and business outcomes, working end-to-end in Python, SQL, and Spark.
IT Security Engineer at Cambridge Mobile Telematics secures endpoints, SaaS tools, and cloud infrastructure while responding to incidents and enforcing policies in a hybrid role.
Develops embedded C++ applications and Qt-based GUIs for mission-critical systems, integrating and testing on Linux platforms.
Oversee quality assurance and control for electrical installations in next-gen, liquid-cooled data centers, ensuring reliability, safety, and compliance with codes and specifications.
Designs and maintains GCP network architectures for a global conversational AI platform, ensuring high availability, security, and performance while collaborating with SRE and platform teams.
Design and optimize agentic AI systems for healthcare workflows, focusing on retrieval, context, memory, and evaluation to ensure safe, transparent, and scalable performance.
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