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Cloud Native solutionsto support large-scale, high-performance, and highly available services across multi-cloud environments. ThePrincipal Engineerwith deep technical knowledge ofRouting technologiesnetworking fundamentalsdistributed systems. You will work on the development and lifecycle of amulti-cloud distributed platform, leveragingKubernetes (K8s)for orchestration.MP-BGP, MPLSnetworking fundamentalsdistributed systemsKubernetes orchestration. You will be responsible for designing and implementing scalable and resilientcontrol and data plane solutionswhile bringing leadership experience and technical acumen to influence the future direction of our product.
Key Responsibilities
Qualifications
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $203,200.00 - $304,800.00These jobs might be a good fit

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Essential Responsibilities:
Expected Qualifications:
Additional Responsibilities & Preferred Qualifications
Responsibilities:
Qualifications:
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The US national annual pay range for this role is $81,000 to $133,100
Our Benefits:
Any general requests for consideration of your skills, please
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In today's business landscape organizations are continuously transforming and evolving to keep pace with change and innovative solutions. This wave of digital transformation and constant evolution introduces a variety of risks, which organizations are not equipped to manage and mitigate on their own. As a professional in our Risk Technology practice, you will assist clients in integrating optimal application security, control, and risk management solutions through their transformation journey. You will belong to an international network of specialists helping our clients enable trust through transformation, while working closely with large scale implementation teams across a variety of enabling emerging technologies and solutions.
As a member of our national Risk Technology practice, you will belong to a network of professionals helping our clients implement trusted technology solutions to enrich and improve decision making, provide visibility and transparency of risk and compliance to stakeholders, and integrate efficient and effective risk management solutions.
As our Risk Technology practice continues to rapidly expand, we are seeking a highly motivated Senior Associate, focused on cloud-based application security, controls, and technology enablement. We need Seniors to help our clients develop and execute sustainable risk management solutions through transformational their efforts. As part of the team, you will work with a wide variety of resources and clients to deliver professional services on strategic and global priority accounts, while accelerating your professional growth.
We will support you with career focused training and coaching to develop, execute, and accelerate your professional goals.
Your key responsibilities
Leveraging your cloud application and industry knowledge, you will lead cross-functional teams in developing innovative solutions for clients that will assist them in evolving and sustaining a risk management program through transformation. You will support EY teams responsible for transforming organizations' front, middle, and back office through implementation of leading practice cloud-based technology solutions.
Skills and attributes for success
To qualify for the role, you must have
Ideally, you’ll also have
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
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As an Asset Health Data Analyst at either the Senior Consultant or Manager rank, you will design, build and implement scalable data solutions that drive significant business value for our asset intensive clients. Collaborating closely with other data and analytics professionals, program teams, management, and stakeholders, you will play a pivotal role in the analytics landscape to help our clients in addressing their asset health and maintenance challenges. Your experience will enable you to comprehend and dissect business requirements, translating them into precise technical specifications. You will serve as a vital link between business stakeholders and technical teams, ensuring that the development process aligns seamlessly with the intended design and objectives.
In line with client requirements, highly desirable would-be familiarity with asset management and health experience of fixed plant equipment (e.g., conveyor belts, screen houses) or mobile equipment (e.g., drills, loaders, haul trucks, light vehicles).
In line with client requirements this role is based in our
Your key responsibilities
Skills and attributes for success
Ideally, you’ll also have the skills and attributes below, but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.
What we offer you
At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
Acknowledgement of Country
Building a
Our preferred applicant willbe required
© 2025 Ernst & Young Australia.A member firm of Ernst & Young Global Limited.All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation
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As a Product Manager, you know what it takes to design, develop and drive the adoption of great digital products and services.
Your key responsibilities
Working with strategists, designers, developers and other key stakeholders, you will be responsible for concepting, designing, and developing digital products and services that address a market opportunity.
You will create personas, conduct product research to inform concepts and new features, design products, and develop the corresponding user stories and requirements. You will manage the product backlog, work day-to-day with the engineering teams to clarify requirements and recommend alternative approaches to meeting business requirements when necessary.
You will conduct ongoing experimentation and evaluate user feedback, usage of the product and key metrics, with an eye toward continuously improving the product and user experience.You also will drive ongoing market and user research to shape the longer-term product strategy and product roadmap.
Skills and attributes for success
To qualify for the role you must have
Ideally, you will have
What we look for
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn .
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TEAM OVERVIEW:
KEY RESPONSIBILITIES:
TECHNICAL SKILLS:
REQUIREMENTS/EDUCATION:
Applications will be reviewed on a rolling basis. Please apply by January 30, 2026. Note: This position may close early based on application volume or candidate selection.
Full timeNew College GradThese jobs might be a good fit

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As a Data Science Consultant, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also collaborate with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.
You will:
Provide technical and strategic guidance to the team and executive stakeholders on complex AI/ML initiatives
Design, develop, and deploy scalable Large Language Model (LLM) and Generative AI systems in real-world, production-grade environments
Build robust, end-to-end AI pipelines, including data collection, preprocessing, model training, evaluation, deployment, and post-deployment monitoring
Apply traditional machine learning approaches to solve predictive modeling and classification problems across both structured and unstructured datasets
Collaborate closely with data engineers, MLOps specialists, and product managers to align AI solutions with business goals and continuously improve model performance, reliability, and user trust through experimentation, testing, and feedback-driven iteration
Essential Requirements
Proven experience communicating complex technical concepts to both technical and non-technical stakeholders, and influencing product direction.
Strong programming skills in Python , with hands-on experience using ML/AI frameworks such as PyTorch , TensorFlow , or similar.
Self-driven and proactive, with the ability to own and lead end-to-end projects independently.
Demonstrated ability to clearly explain statistical and algorithmic techniques at varying levels of technical depth.
Experience building and deploying large-scale, production-ready machine learning systems and developing agentic AI solutions, such as tool-using agents, autonomous task workflows, or reasoning-based systems.
Desirable Requirements
Bachelor’s degree with 8+ years of industry experience, or Master’s degree with 6+ years of experience in a data science or machine learning role or equivalent experience
Familiarity with building GenAI applications that enhance developer productivity , code generation, or documentation assistance, designing and optimizing prompts and templates for LLM-based applications, LLM frameworks such as LangChain , LlamaIndex , or similar open-source tools, prompt engineering, retrieval-augmented generation (RAG), or autonomous agents powered by LLMs.
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Cloud Native solutionsto support large-scale, high-performance, and highly available services across multi-cloud environments. ThePrincipal Engineerwith deep technical knowledge ofRouting technologiesnetworking fundamentalsdistributed systems. You will work on the development and lifecycle of amulti-cloud distributed platform, leveragingKubernetes (K8s)for orchestration.MP-BGP, MPLSnetworking fundamentalsdistributed systemsKubernetes orchestration. You will be responsible for designing and implementing scalable and resilientcontrol and data plane solutionswhile bringing leadership experience and technical acumen to influence the future direction of our product.
Key Responsibilities
Qualifications
The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.
The annual base pay for this position is: $203,200.00 - $304,800.00These jobs might be a good fit