S&C Global Network - AI - Song - Gen AI- Consultant at Accenture

Gurugram, Haryana, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Analytics, ConsultingIndustries

Requirements

B.Tech/M.Tech from reputed engineering colleges; or Master’s in Computer Science, Statistics, Econometrics, or Economics from a reputed institute
1–8 years of experience in analytics or data science projects
Strong statistical modeling, customer analytics, segmentation, NLP, and GenAI skills
Proficiency in regression analysis, hypothesis testing, multivariate analysis, time series, optimization, and ML algorithms (Random Forest, Gradient Boosting, Neural Networks)
Hands-on experience with Python, R, Spark, and ML/NLP frameworks (scikit-learn, PyTorch, TensorFlow, Hugging Face)
Hands-on experience with Prompt Engineering, creating RAG pipelines and building agents in different frameworks such as Crew.AI or LangGraph etc
Familiarity with cloud data platforms (AWS, Azure, GCP) and MLOps/LLMOps workflows
Experience in leading teams will be a plus
Strong analytical skills
Good team player
Attention to details
Good communication skills

Responsibilities

Define data requirements aligned with business objectives and success metrics
Clean, aggregate, and analyze data; conduct quality checks and exploratory analysis
Prepare datasets for modeling; document assumptions, lineage, and transformations
Engineer features and develop statistical, econometric, ML, and NLP/GenAI models (LLMs, embeddings, RAG pipelines)
Evaluate models for performance, explainability, and fairness
Design, build, and deploy scalable AI/ML solutions in Python using AWS/GCP/Azure with MLOps/LLMOps (versioning, CI/CD, monitoring, governance)
Utilize modern LLMs (e.g., GPT, BERT, Llama) for NLP tasks such as text generation, semantic search, summarization, and conversational agents
Architect autonomous multi-agent systems for business process automation
Transform research and prototypes into robust, production-ready systems following software engineering best practices
Monitor, troubleshoot, and optimize deployed models and agents for performance and reliability
Partner with managers and leadership to convert insights into actionable recommendations and executive presentations
Lead small project pods, review code, and enforce standards and best practices
Collaborate with cross-functional teams to translate business needs into AI solutions
Contribute to proprietary assets (feature stores, prompt libraries, evaluation harnesses)
Document solution architectures, workflows, and technical decisions

Skills

Python

AWS

GCP

Azure

MLOps

LLMOps

Machine Learning

NLP

GenAI

LLMs

Embeddings

RAG

CI/CD

Data Cleaning

Feature Engineering

Model Evaluation

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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