AI/ML Full Stack Engineer
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Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com
We are seeking a highly skilled AI Full Stack Engineer to design, develop, and deploy AI-powered applications. This role combines expertise in both front-end and back-end development with a strong focus on integrating AI/ML models into scalable and user-friendly solutions. You will work closely with data scientists, AI engineers, and product teams to create seamless AI-driven experiences for end users. We would expect 2-4 years professional experience for this role.
Project Description:
Develop and maintain full-stack applications incorporating AI/ML models.
Build scalable back-end systems for data ingestion, model deployment, and API integration.
Design responsive, user-friendly front-end interfaces to deliver AI-driven functionalities.
Optimize performance and scalability of AI applications in production.
Collaborate with cross-functional teams to align development with business and technical goals.
Key Skills:
Proficiency in front-end frameworks (e.g., React, Angular, Vue.js) and modern UI/UX design practices.
Expertise in back-end development with frameworks like Node.js, Django, or Flask, and experience with API development and integration.
Strong understanding of AI/ML model integration, including using tools like TensorFlow.js or integrating REST/GraphQL APIs with AI services.
Benefits of working at Accenture:
18 weeks paid parental leave
Structured career development program
Local and international career opportunities.
Certified as a Family Inclusive Workplace™
Flexible Work Arrangements - centered around Accenture’s Truly Human ethos and our commitment to supporting the health and wellbeing of our people.
We are proud to be in the top 3 of last year’s Diversity & Inclusion Index!
Please refer to this link - Employee Benefits | Accenture for a detailed description of the benefits
Equal Employment Opportunity Statement for Australia:
At Accenture, we recognise that our people are multi-dimensional, and we create a work environment where all people feel like they can bring their authentic selves to work, every day.
Our unwavering commitment to inclusion and diversity unleashes innovation and creates a culture where everyone feels they have equal opportunity. Our range of progressive policies support flexibility in ‘where’, ‘when’ and ‘how’ our people work to ensure that Accenture is an organisation where you can strive for more, achieve great things and maintain the balance and wellbeing you need.
We encourage applications from all people, and we are committed to removing barriers to the recruitment process and employee lifecycle. All employment decisions shall be made without regard to age, disability status, ethnicity, gender, gender identity or expression, religion or sexual orientation and we do not tolerate discrimination. If you require adjustments to the recruitment process or have a preferred communication method, please email exectalent@accenture.com and cite the relevant Job Number, or contact us on +61 2 9005 5000.
Experience with databases (SQL and NoSQL) and scalable cloud infrastructures (AWS, GCP, or Azure).
Knowledge of MLOps practices and deploying AI models in production environments.