S&C Global Network - AI - Song - Marketing Platform- Analyst 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

Marketing, Technology, ConsultingIndustries

Requirements

2–8 years of experience in AI/ML, backend data engineering, with some experience leading projects or small teams preferred
Strong expertise in Python, with extensive experience in data manipulation, ML frameworks, and productionizing code
Practical experience building and fine-tuning LLMs for various NLP applications
Solid grasp of NLP concepts: tokenization, embedding, text classification, NER, sentiment analysis, etc
Familiarity with agentic development (e.g., agent frameworks, multi-agent collaboration, task orchestration)
Experience with common data science and ML tools/libraries: Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers
Proficient in building RESTful APIs and integrating AI services
Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps workflows is a plus
Good to have: Exposure to knowledge graphs, retrieval-augmented generation (RAG), or hybrid AI architectures
Good to have: Experience with prompt engineering and custom LLM deployments
Good to have: Background in domain-specific NLP (Supply Chain, Healthcare, Finance, Legal, etc.)
Good to have: Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines
Strong analytical skills
Good team player
Attention to details
Good communication skills

Responsibilities

Design, build, and deploy scalable data science and AI/ML solutions using Python
Conduct exploratory data analysis, feature engineering, and model evaluation

Skills

Python

Pandas

NumPy

Scikit-learn

PyTorch

TensorFlow

Hugging Face Transformers

NLP

LLMs

RESTful APIs

MLOps

AWS

Azure

GCP

Docker

Kubernetes

RAG

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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