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Azure Cloud expertise including IaaS/PaaS/SaaS Experience with Azure Services – Azure Migrate, Azure Management Groups, Log Analytics, Azure Subscription Management, Azure Monitor, Azure Portal, Azure Policy, Key Vault, RSV Backups, Role Based Access, Automation Accounts, Storage Accounts, Entra. Expertise in cloud migration techniques and workflows (on premise to Cloud) Infrastructure Automation experience - Azure DevOps, CICD, Configuration management, Ansible, Bash, Go, Python, Chef IaaC experience, including Terraform, PowerShell, Azure Resource Manager (ARM), Bicep Experience with Kubernetes (AKS) Azure Network design and configuration experience - Azure Firewall, NSGs, Routing, Private Endpoints, Virtual WAN Azure Security design and implementation ...

Senior Business Analyst – Business Controls & Process Improvement We’re seeking an experienced Senior Business Analyst to support business-led change across customer operations within a highly regulated environment. This role is focused on process improvement, business controls, and operational uplift, ensuring regulatory and policy changes are embedded pragmatically into day-to-day business operations.

Indigeco is supporting a major federal Government organisation to recruit a Senior AI Engineer (EL1 equivalent) to join a central Data Science team delivering cutting-edge AI and machine learning solutions. YOUR RESPONSIBILITIES Lead the design, development and deployment of AI and data science engineering solutions Architect and manage secure, scalable cloud infrastructure (Azure, AWS or Google Cloud) using Infrastructure as Code Deliver AI projects involving NLP, generative AI, predictive modelling and self-service analytics products Prototype engineering solutions rapidly for high-priority AI initiatives Establish standards, procedures and internal capability across the AI development lifecycle Collaborate with stakeholders, IT providers and end-users to deliver customer-centred solutions Support data ingestion, curation, ETL pipelines and analytics workflows Translate complex technical concepts into clear advice for non-technical audiences YOUR REQUIREMENTS Baseline security clearance (mandatory) Strong experience leading AI, data and cloud engineering work in government or complex environments Proven ability to design, build, test and deploy AI solutions end-to-end Experience working with relational databases and large-scale data platforms Strong knowledge of CI/CD, containerisation, orchestration and DevOps practices Experience with Azure, AWS or Google Cloud environments Well-developed communication skills and stakeholder engagement capability Ability to write and present advice clearly in plain English Desirable experience includes: Generative AI engineering, agent-based solutions and prompt evaluation Deploying and integrating open-weight LLMs via API endpoints Understanding of AI ethics, bias, risk and output evaluation Experience with Python AI libraries such as Hugging Face, PyTorch and llama-cpp Experience with Powe...

[Applicants: Be among the first 25 applicants | Industry: Software Development | Type: Contract | Level: Mid-Senior level] Denodo is a leader in data management. The award-winning Denodo Platform is the leading data integration, management, and deli

[Applicants: Be among the first 25 applicants | Industry: Retail Luxury Goods and Jewelry | Type: Full-time | Level: Associate] About the OpportunityWe are proud to partner with an iconic luxury maison to seek a refined, service‑drivenSales Associat

You will bridge the gap between AI experimentation and robust, production-ready agentic systems, ensuring scalability, reliability, security, and business impact. Key Responsibilities Design, build, and deploy production‑grade AI and agentic systems that automate complex business workflows and deliver measurable outcomes Develop and integrate LLM‑powered applications and multi‑agent architectures, ensuring scalability, reliability, and controlled autonomy Deploy AI solutions on cloud platforms (Azure and/or GCP) using secure, scalable, and cost‑efficient infrastructure Implement best practices for software engineering, CI/CD, and system reliability, including testing, monitoring, and observability Ensure AI system safety, evaluation, and performance, incorporating guardrails, monitoring, and feedback loops Collaborate with cross‑functional teams to translate business requirements into robust technical solutions Contribute to technical leadership, including architecture decisions, documentation, code reviews, and mentoring Required Qualifications 3+ years of software engineering or AI development experience Proven experience building and deploying enterprise-grade agentic or multi-agent systems Strong Python expertise, including async programming and performance optimization Production experience with modern AI agent frameworks and tool/API orchestration Hands-on cloud deployment experience on Azure and/or GCP, including containerization and CI/CD Preferred Qualifications Azure or Google Cloud certifications (preferred) Relevant AI/ML or ag...

JD · Key Capabilities/Technical Competencies (skills, knowledge, technical or specialist capabilities) • Java, Python, Groovy, Spring, Bash, JSON, NodeJS • Hands-on DevOps processes deployment, troubleshooting, etc • Experience of or keen to rapidly learn Cloud services (AWS) such as Lambda, SNS/SQS, Step Functions, Cloudwatch, DynamoDB, EC2 etc • Experience in developing and building end to end technical strategies focusing on quality and fast feedback approaches, against diverge architectures • Continuous Integration, e.g. Maven, Jenkins, Cloud Formation, AWS Serverless Framework and version control software e.g.

Write and formalize advanced mathematical proofs in Lean for cutting-edge AI research. Organization: Alignerr Position: Researcher - Lean 4 & Formal Proof Systems Type: Hourly Contract Compensation: $70–$150 /hour Location: Remote Commitment: 10–40 hours/week Role Overview - We are seeking mathematicians with deep training in rigorous proof construction and hands-on experience with formal proof languages, especially Lean.

About The Role This is a rare opportunity to shape the technical future of AI at Australia's leading AI company. Technical team leadership: Lead a group of AI Scientists and Specialists at Australia's leading AI company, building deep technical capability across emerging AI domains including agentic AI, multi-agent systems, and LLM applications.

Our mission is to revolutionise enterprise risk management by leveraging AI to provide unparalleled insights and efficiencies. As an AI Engineer at Protecht, your mission is to redefine how organizations manage risk by embedding intelligent, autonomous, and conversational AI capabilities into our enterprise platform, Protecht.ERM.

and graduate opportunities. Degree qualified in a related discipline or an equivalent combination of education and experience Demonstrated business development skills and ability to build, maintain and develop strong external and internal relationships An understanding of recruitment and placement processes, with an interest in supporting students to develop and enhance their graduate employability skills Demonstrate an understanding of work-integrated learning and its relevance to the required industries Demonstrated cross cultural skills and an understanding of the different approaches required Superior computing skills (word, excel, powerpoint etc) Ability to plan, organise and achieve work targets, sometimes in demanding circumstances and work harmoniously and constructively with colleagues Demonstrated interpersonal, negotiation, written and oral communication skills Attention to detail and an ability to focus on continuous improvement Demonstrate an ability to work collaboratively across an organisation to implement key initiatives and projects Ability to work according to a timeline and accomplish key deliverables by balancing competing priorities Previous experience in the areas of study offered by the College (Desirable) An understanding of the Australian HE and VET sectors (Desirable) Show less [{"type":"people_also_viewed","href":"https://au..com/jobs/view/employment-consultant-at-asuria-australia-4354151822","jobId":"4354151822","label":"Employment Consultant"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/employment-consultant-at-apm-4371329452","jobId":"4371329452","label":"Employment Consultant"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/employment-consultant-at-apm-4368793240","jobId":"4368793240","label":"Employment Consultant"},{"type":"people_also_viewed","href":"https://au..com/jobs/view/employment-consultant-at-vision-australia-4369326138","jobId":"4369326138","la...

You will lead the design of modern data platforms – Snowflake, Databricks, Microsoft Fabric, AWS, or a mix of them. Key Responsibilities Lead end-to-end data architecture across multiple client engagements Design modern data platforms using Snowflake, Databricks, Fabric, AWS or similar technologies Build scalable ingestion, modelling, and transformation layers (SQL, dbt, Lakehouse patterns, medallion, dimensional modelling) Own architecture artefacts: conceptual/logical/physical models, integration patterns, security design Provide technical leadership, mentoring, and solution oversight for engineering teams Work directly with client stakeholders to clarify requirements and guide decisions Support the sales team with new opportunities – discovery sessions, solutioning, estimates, and technical write-ups Run proof-of-concepts and prototypes to validate ideas and demonstrate feasibility Contribute to predictive analytics and ML-driven solutions where needed – helping shape feature pipelines, data requirements, and deployment patterns with data science teams Ensure the platform supports downstream ML workloads, model training, and orchestration What You Bring 10+ years across data engineering, architecture, analytics, or a blend of all three Deep hands-on expertise in at least one major cloud ecosystem (Snowflake, Databricks, Fabric, AWS) Strong data modelling skills across dimensional, 3NF, and emerging lakehouse patterns Experience working with or supporting data science teams – feature engineering, ML-ready datasets, predictive analytics projects Comfortable leading delivery teams and driving architecture decisions on mid-to-large projects Strong grasp of cloud security, networking basics, and designing for scale and cost efficiency Confident in consulting environments – you know how to handle ambiguity, reset expectations, and communicate clearly Comfortable in pre-sales: solution shaping, presenting to clients, and working wit...