At a Glance
- Tasks: Develop and implement cutting-edge AI solutions to solve real-world business challenges.
- Company: Join Accenture, a leader in innovation and technology with a vibrant culture.
- Benefits: Enjoy competitive salary, global training opportunities, and a supportive work environment.
- Why this job: Be at the forefront of AI and machine learning, making a real impact on businesses.
- Qualifications: Experience in machine learning and a passion for technology and innovation.
- Other info: Collaborate with global teams and advance your career in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence.
The Data & AI team is: The Data and AI revolution is changing everything. It’s everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance.
Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI.
You’ll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you’ll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job.
In the Data & AI team you will:
- Be at the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises.
- Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
- Be working with famous brands and household names.
- Develop your skills with our world class training programmes.
- Drive and implement real world solutions into production that drive business value to our clients.
- Work alongside global teams to collaborate and deliver the best solutions for our clients.
- Drive your career progression via our structured career development programs.
- Align with our industry partners to develop your career and the solutions we deliver for our clients.
As a Customer AI Developer Specialist, you will:
- Play a key part in delivering impactful Machine Learning (ML) and Generative AI solutions across a variety of industries and use cases. From solving complex business problems to deploying scalable AI models, you'll operate at the intersection of data science, technology, and business strategy.
Key responsibilities:
- Machine Learning (ML) & AI Development
- Solve business challenges using advanced ML techniques such as deep learning and quantitative analytics.
- Design and run experiments with generative AI models across text, images, audio, and video.
- Consult on and implement algorithms for content generation.
- Define strategies to embed, scale, and optimize Machine Learning (ML) models in production environments.
- Stay up-to-date with emerging research and techniques in AI and Machine Learning (ML).
- Understand business requirements and support the development of use cases.
- Run discovery analytics to identify opportunities for innovation.
- Partner with engineers to deploy Machine Learning (ML) algorithms that deliver measurable value.
- Contribute to sales activities by providing data science insights and shaping solutions.
- Communicate technical concepts clearly to senior client leadership and non-technical teams.
- Build reusable assets and best practices to support future business problems.
- Consult on complex data science analyses and strategic delivery models.
- Shape overall data science strategy and guide delivery excellence.
- Operate across industries and functions to apply Machine Learning (ML) to diverse challenges.
- Mentor team members and share your expertise with the broader practice.
Locations: London
Customer AI Developer Specialist employer: WeAreTechWomen
Contact Detail:
WeAreTechWomen Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer AI Developer Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. The more connections you make, the better your chances of landing that Customer AI Developer Specialist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Machine Learning and AI. This will give you an edge when discussing your experience during interviews and help you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI roles and practice your responses. Be ready to discuss your technical skills and how they can solve real-world business problems, just like Accenture does.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Accenture team and contributing to their innovative projects.
We think you need these skills to ace Customer AI Developer Specialist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Customer AI Developer Specialist role. Highlight your experience with Machine Learning and AI, and how it aligns with what we do at Accenture Song.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of projects where you’ve applied advanced ML techniques or generative AI models. We love seeing real-world applications!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical expertise and how it can benefit our clients. Remember, we want to see your personality shine through too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role and our team!
How to prepare for a job interview at WeAreTechWomen
✨Know Your AI Stuff
Make sure you brush up on the latest trends in Machine Learning and Generative AI. Be ready to discuss specific techniques you've used, like deep learning or quantitative analytics, and how they can solve real business problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex challenges using AI solutions. Think about times when your insights led to measurable business value, and be ready to share these stories during the interview.
✨Communicate Clearly
You’ll need to explain technical concepts to non-technical folks, so practice simplifying your language. Use analogies or relatable examples to make your points clear and engaging for everyone in the room.
✨Be a Team Player
Collaboration is key in this role. Highlight your experience working with cross-functional teams and how you’ve partnered with engineers or other stakeholders to deploy successful AI models. Show that you can thrive in a team environment!