Machine Learning Engineer Generative Ai Innovation Center jobs at Amazon in Australia, Melbourne

Core Focus Areas:Agentic AI Implementation & Architecture:* Design and implement multi-agent AI systems using AWS services
* Architect GenAI and Agentic AI solutions using AWS Bedrock, Amazon Q, or open source tools
* Lead complex AI transformation projects focusing on agentic systems
* Develop frameworks for AI performance optimization and business value measurement
* Implement AI governance and safety practices
* Design and operationalise evaluation frameworks to measure effectiveness, scalability and robustness of Multi agent applications
* Design and implement agent identity and provenance frameworks to ensure trust, accountability and compliance in GenAI multi agent systems.Multi-Agent Protocols & Frameworks:* Design solutions using MCP, ACP, A2A, ANP, and AG-UI protocols
* Implement agent discovery, authentication, and coordination mechanisms
* Develop multi-agent systems using LangChain, AutoGen, MetaGPT, and LangGraph
* Create secure agent-to-agent communication infrastructures
* Design real-time context sharing and state management systemsFull Stack Development:* Build end-to-end agentic AI applications using modern frameworks
* Develop frontend interfaces for AI agent interaction (React/Angular/Vue.js)
* Implement backend services for AI orchestration (Python/Node.js/Java)
* Design and Implement GenUI based interfaces to produce and render dynamic interactive experiences.
* Design microservices architectures for scalable AI deployments
* Create event-driven architectures using AWS servicesKey job responsibilities
* Expertise - Design and develop cloud-native solutions using AWS services, including hands-on software development, architecture design, and implementation of best practices in modern development methodologies
* Solutions - Provide solution implementations including software development, CI/CD pipelines, infrastructure as code, and DevOps practices while collaborating with customers to understand requirements and create technical solutions
* Delivery - Build and implement distributed computing solutions using AWS services, involving hands-on coding, testing, and deployment across cloud environments. This includes developing new applications, modernizing existing ones, and innovating on behalf of customers.
* Technical Leadership - Guide customer and partner teams in software engineering practices, code reviews, architectural decisions, and implementation of AWS services while ensuring solution quality and security best practices
* Innovation - Develop innovative solutions using AWS AI/ML services, including building AI-enabled applications, implementing Agent architectures, and creating reusable components that demonstrate innovative use of AWS servicesA day in the life
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 7+ years of IT implementation experience
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience and technical expertise (design and implementation) in cloud computing technologies
- 5+ years of practical machine learning experience
- 5+ years of full stack development experience

- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent
- Experience implementing AWS services
- 4+ years of external or internal customer facing, complex and large scale project management experience, or AWS Professional level certification
- Hands on experience leading large-scale global data analytics projects aligned with business use cases.
- Experience in Data Quality management: Processes to measure and manage data quality, enforce data controls, and provide data assurance.

** Join Our Innovative Computer Vision Team at Amazon, Australia **As a member of our international Machine Learning group, you will work closely with other senior scientists in developing generative AI solutions that leverage vast amounts of Amazon data and advanced cloud computing resources.Key job responsibilities
- Communicate clearly within the team to understand and align on scope and requirements

- Experience implementing algorithms using both toolkits and self-developed code
- Experience researching about machine learning, deep learning, NLP, computer vision, data science
- Experience applying theoretical models in an applied environment

Key job responsibilities
- Architect and implement sophisticated network infrastructure solutions.
- Lead and actively participate in technical project implementation such as Network stack modernization.
- Provide expert-level resolution for complex technical challenges while maintaining system reliability, including Network outages and performance issues.- Own and manage critical network and system configurations across AU wide.What's On Offer
- Competitive compensation packages including paid comprehensive health insurance.
- Investment in your growth through advanced technical certifications.- Platform to develop others while advancing your technical expertise.
- Access to the most advanced technology and innovation in the field.

- 3+ years of enterprise IT experience with proven technical expertise.
- Comprehensive knowledge of networking technologies (TCP/IP, OSPF, BGP, VLANs).
- Strong background in implementing network security solutions.
- Hands-on Linux systems administration expertise.
- Extensive Windows Server environment experience.
- Practical experience with Cisco enterprise equipment.
- Experience managing mission-critical infrastructure.
- Flexibility for shift work and on-call responsibilities.

Key job responsibilities
- Define and/or refine system requirements, participate in the development and delivery of operability-related features such as system health monitoring, diagnostics, repair, and other self-healing automation
- Develop or further existing application and system management tools and processes that reduce manual efforts and increase overall efficiency- Participate in the design and execution of production acceptance tests and new hardware evaluations
- Monitor the health of the fleet, automating system health, maintenance tasks, and reporting systems as needed
- Participate in “on-call” rotations to resolve incidents occurring out-of-hours.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 3+ years of administrative experience in networking, storage systems, operating systems and hands-on systems engineering experience
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix

- Experience with distributed systems at scale

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Key job responsibilities- Ability to make quick decisions with limited data based on experience and understanding of the subject matter
- The QA engineer will focus on fiber optic and optic components, cabling and interconnect products, technologies and standards at this point. The scope may expand to mechanical and electrical (M&E) and other mission critical components later.- Candidates must be responsive and communicate with technical teams to collect requirements and communicate with internal customers to describe features, technical designs and strategy.
- Identify and respond to risks and high-priority issues rapidly and effectively
- Support New Product Implementation activities that improve infrastructure quality, reduce cost and installation time
- Local Travel 40+% to review projects and coordinate with onsite personnel and contractors at AWS Data Centers
A day in the life
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS
Work/Life BalanceMentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- High school diploma or equivalent; associate or bachelor's degree in Information Technology, Telecommunications, or related field preferred.
- 3+ years of experience in structured cabling, inside plant (ISP) infrastructure, or data center environments.
- Knowledge of fiber optic, copper (Cat 5e/6/6A) cabling installation standards or structured cabling systems

- In-depth knowledge of ANSI/TIA-568, 569, 606, 607, ISO/IEC 11801, and NEC Articles 300 & 392 (or related local electrical codes)
- Familiarity with NEMA VE1/VE2 and IEC 61537 for cable tray construction and installation.
- Experience conducting QA inspections in live data center environments with a focus on pathway fill ratios, cable diameter compliance, separation requirements, and firestop/fire rating compliance
- Hands-on knowledge of fiber splicing, fiber testing equipment (OTDR/OLTS), budget-loss, and copper certification testing
- Strong communication skills with the ability to interface with contractors, engineers, and stakeholders.

· Ability to exhibit good written and oral communication skill.Physical Requirements
All physical requirements are expected with reasonable accommodations
· Regularly lift and/or move up to 35 pounds unassisted; and participate in group lifts for 36 pounds or more
· Must be able to lift loads of up to 49 pounds and carry them for short distances
· Walk job sites in uneven terrain.
· Willing and able to frequently push, pull, squat, bend, and reach
· Continuously climb and descend stairs safely (applies to sites with stairs)
· Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl.
· Coordinate body movements when using tools or equipment
· Reach and stretch to position equipment and fixtures while maintaining balance
· Perform physical tasks all day without becoming overly tired
· Push or pull heavy objects into position
· Work in a noisy environmentKey job responsibilities
Coordinate efforts with peers in other regionsOpportunities to communicate with various levels of leadershipMaintain data accuracy between data center rack positions and logical toolingA day in the life
Technicians will provide information gathering of our data center floor space to validate system information or rectify system inaccuracies where present.

- High school or equivalent diploma
- Knowledge of Microsoft Office products and applications (especially Excel)
- High school or equivalent diploma, or Associate's degree
- Experience dealing effectively with customers during problem resolution and operating efficiently under pressure
- • 1+ years of experience using Windows, Mac and/or Linux Operating systems in a corporate setting, or relevant education/certifications
- • 6 + months of relevant IT experience

- 1+ years of data center experience

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.

- 4+ years of SQL experience
- 7+ years of business intelligence and analytics experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools

- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience