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

8140 ASOL - Gurugram Non STPI Company; Bengaluru; On-site; INR 2,500,000 - 5,500,000; Full time

Job summary

Accenture in India seeks an AI/GenAI Retail Specialist (Manager level) to lead development and implementation of AI solutions across retail operations. This role blends technical expertise, retail domain knowledge, and leadership to drive GenAI initiatives.

You will guide ML/DL model development, collaborate with product and marketing teams, and translate data insights into business strategies. Experience with TensorFlow/PyTorch, NLP, and cloud platforms is valued.

Qualifications

• Strong understanding of the retail industry.
• Excellent communication and 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 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.
• Familiarity with transformer‑based models such as BERT, GPT, and T5 for understanding and generating human language.
• Experience with Generative Pre‑trained Transformers (GPT).
• Experience with Data Visualization Tools.

Responsibilities

• Leverage Retail Knowledge: Design AI solutions addressing critical retail business needs.
• Supervise teams in building, validating, and deploying ML/DL models using TensorFlow, PyTorch, and Hugging Face.
• Develop and oversee GenAI-powered tools.
• Design, develop, and implement AI algorithms (ML/DL) and generative models (GPT, GANs) for retail.
• Focus on AI models for customer lifecycle, personalized experiences, pricing optimization, and product assortment.
• Collaborate with cross‑functional teams to translate retail challenges into AI solutions.
• Communicate AI potential to technical and non‑technical stakeholders.

Skills

Retail industry

Communication skills

Cross-functional teams

AI solutions

Large datasets

Supervised learning

Unsupervised learning

Deep learning

Transformers

NLP

GPT

BERT

T5

Data visualization

Education

MSc Statistics

B.Tech./M.Tech Computer Science

Econometrics

Data Science

Tools

SQL

NoSQL

Spark

Job description

Job Title - S&C Global Network - AI - Retail - AI/Gen AI Manager Management Level: 07 - Manager Location: Bangalore / Gurgaon / Mumbai / Chennai / Pune / Hyderabad / Kolkata

Must have skills: Strong understanding of retail industry 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. Good to have skills: Familiarity with SQL, NoSQL databases, and big data technologies like Spark for handling large‑scale data. Familiarity with transformer‑based models such as BERT, GPT, and T5 for understanding and generating human language. Experience with Generative Pre‑trained Transformers (GPT) Experience with Data Visualization Tools

Job Summary:

We are seeking a dynamic and experienced AI / GenAI Retail Specialist (Manager level) to lead the development and implementation of artificial intelligence solutions across our retail operations. This role requires a strong blend of technical expertise, domain knowledge in the retail sector, and leadership capabilities to drive impactful AI and GenAI initiatives. Your expertise in AI will drive the development of cutting‑edge solutions that enhance retail performance across various domains, including merchandising, pricing, customer engagement, and product assortment.

Roles & Responsibilities:

Leverage Retail Knowledge: Utilize your deep understanding of the retail industry (merchandising, customer behavior, product lifecycle) 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. For example, 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.

Professional & Technical Skills:

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.

Additional Information:

About Our Company | Accenture Experience: 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. Knowledge of ethical AI practices and responsible AI governance. Experience working with APIs of commercial LLMs (e.g., OpenAI, Cohere, Anthropic).

About Accenture

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