Responsible AI Engineering Specialist

Posted:
9/5/2024, 6:13:03 AM

Location(s):
London, England, United Kingdom ⋅ England, United Kingdom

Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior

Field(s):
AI & Machine Learning

Job Role: Responsible AI Engineering Specialist

Location: London 
Salary: Competitive Salary + Package (Dependent on experience) 
Career Level:  CL9 (Specialist)

 

Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. 

 

We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO 

We are:

Accenture’s Global Responsible AI team within the Global Data & AI Practice. AI is becoming more pervasive, more powerful, and more accessible.  With these new opportunities come increased risks. We work with leading organizations to ensure AI is designed, built, and deployed in a manner that engenders trust and adheres to laws, regulations and ethical norms. Our Responsible AI strategy will enable us to embed responsibility into all of Accenture’s data and AI activities. We’re developing and deploying differentiated IP and Responsible AI solutions with our ecosystem partners. We’ll be engaging regulators to help shape the policy agenda, conducting pioneering research with academia and offer training and resources to our clients through the Responsible AI Academy.  The risks of AI are real and well- known. Let’s help our clients turn those risks into opportunities.
 

You are:

We’re looking to grow our Responsible AI team and if you’re an experienced RAI Engineer with a Responsible AI background, we’d love to hear from you.

As a Responsible AI Engineer, you’ll be experienced in building state of the art models to solve difficult business challenges. But you’ll also have at least a year’s experience looking at responsible aspects such as AI model Fairness, Transparency, Robustness, Soundness and Privacy – preferably gained in a client-facing environment.
 

You’ll be a problem solver who is passionate about all things data. You’ll be excited by difficult modelling challenges, and you’ll enjoy working with like-minded people who thrive on pushing the boundaries of the possible. You’ll be an outstanding technical specialist with the strong communication skills needed to liaise with your clients and your colleagues.
 

At the forefront of the industry, you’ll help make our Responsible AI vision a reality for clients looking to better serve their customers and operate always-on enterprises. We’re not just focused on increasing revenues – our technologies and innovations are making millions of lives easier and more comfortable. But above all, we’re doing this responsibly and inclusively – to make sure AI technology is used equitably and in a way that is both ethically and technically sound.

 

The work:

You’ll be a key player helping to deliver outstanding work for our Responsible AI clients. Some of the areas you’ll be working in include:

  • Developing and implementing AI models and solutions, focusing on ethical and responsible practices.

  • Detecting, evaluating, and applying relevant RAI dimensions (bias, fairness, robustness explainability etc.) in AI systems; work on mitigating the identified risks. Supporting client sales conversations and proposal preparation

  • Optimizing and maintaining existing AI systems for enhanced performance and adherence to ethical standards.

  • Participating in the full AI development lifecycle, including data preparation, design, coding, testing, deployment, and support.

  • Contributing to the development of internal guidelines, best practices for responsible AI development and technical training.

  • Assisting in the identification and correction of biases in datasets and AI models.

Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Here’s What You Need:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.

  • 4 years experience within a similar role

  • Experience in developing and deploying machine learning models and AI solutions. At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles

  • Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience on big data technologies and tools (e.g., Hadoop, Spark).

  • Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.

  • Demonstrated ability to work with complex datasets and perform data preprocessing and analysis.

  • Strong problem-solving and analytical skills.

  • Ability to work collaboratively in a team environment and communicate effectively with team members.

  • Commitment to ethical AI development and continuous learning in the field.

  • Ability to manage multiple projects and priorities in a fast-paced environment.

  • Excellent documentation and presentation skills for technical and non-technical audiences.

What’s in it for you 

We offer a variety of formal and informal training programs at every level to help you acquire and build specialised skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom/virtual, or in collaboration with others. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career. 

At Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes 30 days of vacation per year, access to app based fitness classes and discounts on range of gyms, private medical insurance and three days leave per year for charitable work of your choice! 

Flexibility and mobility are required to deliver this role to deliver the first-class services we are known for. 

About Accenture 

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 537,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com

Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity, or any other basis as protected by applicable law. 

Application Closing Date : Friday 1st November 2024

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 750,000 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. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, 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

Equal Employment Opportunity Statement     


All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.                                                          

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. 

                    

Accenture

Website: https://accenture.com/

Headquarter Location: Dublin, Dublin, Ireland

Employee Count: 10001+

Year Founded: 1989

IPO Status: Public

Last Funding Type: Grant

Industries: Business Information Systems ⋅ Construction ⋅ Consulting ⋅ Information Services ⋅ Information Technology ⋅ Infrastructure ⋅ Management Consulting ⋅ Outsourcing