S&C Global Network - AI - Retail - AI/Gen AI Retail Manager at Accenture

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

Strong understanding of retail industry (merchandising, customer behavior, product lifecycle)
Excellent communication skills with the ability to translate complex technical concepts into actionable business insights
Experience managing cross-functional teams and delivering AI solutions in a fast-paced environment
Experience in handling large datasets from different sources (e.g., transactional data, customer data, social media data) and data preprocessing techniques
Expertise in supervised and unsupervised learning algorithms
Proficiency in deep learning frameworks like TensorFlow or PyTorch
Ability to implement NLP techniques for chatbots, recommendation systems, sentiment analysis, and personalized search
Proven experience with supervised and unsupervised learning, deep learning, and generative AI models (e.g., LLMs, transformers)
Expertise in machine learning, natural language processing (NLP), and generative AI models
Experience with platforms like TensorFlow, PyTorch, and OpenAI technologies
Knowledge of AI ethics and responsible AI practices
Hands-on experience with cloud platforms (AWS, GCP, Azure) and modern MLOps practices
6–10 years of relevant experience in data science, machine learning, or AI, with at least 2+ years in a leadership or managerial role
Educational Qualification: MSc. Statistics, B.Tech. / M.Tech Computer Science, Econometrics, Data Science
Retail tech experience in e-commerce, fashion, grocery, or quick-commerce segments

Responsibilities

Leverage Retail Knowledge: Utilize deep understanding of the retail industry to design AI solutions that address critical retail business needs
Supervise teams in building, validating, and deploying ML/DL models using frameworks such as TensorFlow, PyTorch, and Hugging Face
Develop and oversee the implementation of GenAI-powered tools
Design, develop, and implement AI algorithms (machine learning, deep learning, etc.) and generative models (e.g., GPT, GANs) tailored to the retail sector
Focus on the creation of AI models that can help in wide range of use cases across – customer lifecycle, personalized customer experiences, optimize pricing, and product assortment
Translate data insights into actionable strategies for marketing, merchandising, and customer experience teams (e.g., identifying cross-selling opportunities or optimizing product assortments)
Work closely with cross-functional teams (e.g., product, marketing, business development) to understand the retail business challenges and translate them into AI-driven solutions
Communicate the potential of AI solutions to both technical and non-technical stakeholders, ensuring alignment between technical capabilities and business objectives

Skills

TensorFlow

PyTorch

NLP

Supervised Learning

Unsupervised Learning

Data Preprocessing

SQL

NoSQL

Spark

BERT

GPT

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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