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.