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S&C Global Network - AI - Software & Platform - Gen AI - Consultant

Accenture

S&C Global Network - AI - Software & Platform - Gen AI - Consultant

Accenture

·

On-site

·

Full-time

·

4d ago

Entity:

  • Accenture Strategy & Consulting

Team:

  • Global Network
  • Data & AI

Practice:

  • CMT – Software & Platforms

Title:

  • Level 9 - Ind & Func AI Decision Science Consultant

Job location:

  • Hyderabad

About S&C - Global Network: -Accenture Global Network

  • Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

About the Software & Platforms Team:

  • The team is focused on driving Data & AI based solutions for SaaS and PaaS clients for Accenture. The team collaborates actively with onsite counterparts to help identify opportunities for growth as well as drives client deliveries from offshore.

WHAT’S IN IT FOR YOU?

  • As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

  • Accenture will continually invest in your learning and growth. You'll work with experts in SaaS & PaaS and Accenture will support you in growing your own tech stack and certifications.

  • In Data & AI you will understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

What you would do in this role

  • Gathering business requirements to create high level business solution framework aligning with business objectives and goals.

  • Monitor project progress able to plan project plan, proactively identify risks, and develop mitigation strategies.

  • Work closely with project leads, engineers, and business analysts to develop AI solutions.

  • Develop & test AI algorithms and techniques tailored to solve specific business problems.

  • Present and communicate solutions and project updates to internal & external stakeholders.

  • Foster positive client relationships by ensuring alignment between project deliverables and client expectations.

  • Adopt a clear and systematic approach to complex issues. Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project

  • Mentor and guide a team of AI professionals, cultivating a culture of innovation, collaboration, and excellence.

  • Conduct comprehensive market research and stay updated on the latest advancements and trends in AI technologies.

  • Foster the professional development of team members through continuous learning opportunities.

Job Qualifications:

Who are we looking for?

  • Bachelor’s or master’s degree in computer science, engineering, data science, or a related field.

  • Experience working for large Software or Platform organizations.

  • Proven experience (5+ years) in working on AI projects and delivering successful outcomes.

  • Hands-On exposure to Generative AI frameworks (Azure Open AI, Vertex AI) and implementations & Strong knowledge of AI technologies, including Embedding, prompt engineering, natural language processing, computer vision, etc.

  • Hands on experience in building and deployment of Statistical Models/Machine Learning including Segmentation & predictive modelling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization.

  • Proficiency in statistical packages such as R, Python, Java, SQL, Spark, etc.

  • Ability to work with large data sets and present findings / insights to key stakeholders; Data management using databases like SQL

  • Experience in training large language models and fine-tuning for specific applications or domains.

  • Understanding of linguistic concepts, encompassing syntax, semantics, and pragmatics, to enhance language modeling.

  • Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models.

  • Understanding of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for managing and deploying models & exposure of CI/CD pipelines for automated testing and deployment of language models.

  • Excellent analytical and problem-solving skills, with a data-driven mindset.

  • Strong project management abilities, including planning, resource management, and risk assessment.

  • Proficient in Excel, MS word, PowerPoint, etc.

  • Exceptional communication and interpersonal skills to engage effectively with clients and internal stakeholders.

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, gender identity, or any other basis as protected by applicable law.

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 approximately 791,000 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

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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About Accenture

Accenture

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10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

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Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

M3

M4

M5

M6

L2 · Business Operations L2

0 reports

$55,250

total / year

Base

$22,100

Stock

$27,625

Bonus

$5,525

$38,675

$71,825

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study