62 Doe Jobs in Hyderabad / Secunderabad

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/Bangalore

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. Youll 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.

Qualifications

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.

Who are we looking for?

Bachelors or masters 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.