S&C Global Network - AI - CMT - Consultant Data Science LLM

Entity:- Accenture Strategy & Consulting

Team:- Strategy & Consulting Global Network

Practice:- Data & AI - CMT

Career Level:Consultant Level 9

Job Posting Title:S&C Global Network - AI - CMT - Consultant Data Science LLM

Job Profile:Ind&Func AI Decision Science Consultant

Job location:- Bangalore/Gurgaon

Accenture Strategy & Consulting 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

As part of our Data & AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/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.

About Comms & Media practice within Strategy & Consulting:

Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment.

• Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers
• Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing

Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction.

From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices.

Responsibilities/Authorities

LLM experienced data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in AI fundamentals and should have good hands-on experience working with any one of the following areas:

Generative AI Techniques and Tools

• Understanding basics of different LLM algorithms and their applications (Must Have)
• LLM Model Fine Tuning Techniques and deployment (Must Have)
• Prompt Designing/Engineering (Must Have)
• GANs (Generative Adversarial Networks):Understanding and implementation of GANs for image and text generation.
• VAEs (Variational Autoencoders):Experience with VAEs for generative modelling.
• Reinforcement Learning for Generation:Techniques like RLHF

Natural Language Processing (NLP) Tools and Libraries

• Transformers:Experience with transformer-based models like BERT, GPT, T5, etc.
• spaCy:For advanced NLP tasks such as tokenization, named entity recognition, and dependency parsing.
• NLTK:Basic NLP tasks and text preprocessing.
• Gensim/LDA:For topic modelling and word embedding techniques.

Machine Learning and Deep Learning Frameworks

• TensorFlow:Experience with model building, training, and deployment
• PyTorch:Proficiency in developing and fine-tuning deep learning models
• Keras:Knowledge of using Keras as a high-level API for TensorFlow
• Scikit-learn:For traditional machine learning tasks and preprocessing

Cloud Platforms and Services

• MS Azure:Knowledge of Azure OpenAI, AI Studio etc.
• AWS (Amazon Web Services):Knowledge of S3, EC2, SageMaker, Lambda, etc.

• Google Cloud Platform (GCP):Knowledge of Vertex AI Platform, BigQuery, Cloud Storage, etc.

Other Key Responsibilities:

• Ability to work with large data (Structured & Unstructured) and present conclusions to key stakeholders
• Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.
• Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state
• Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints.
• Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders.
• Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.