S&C Global Network - AI - Retail - AI/Gen AI Retail Manager
At a glance
Manager-level AI Engineering role at Accenture. Hyderabad · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Use retail knowledge, including shopper behavior and merchandising, to shape AI solutions for business needs
- Guide teams as they build, test and deploy machine learning and deep learning models
- Create AI and generative models for retail needs such as pricing, customer experiences and product assortment
- Turn data findings into practical actions for marketing, merchandising and customer experience teams
- Work with product, marketing and business development colleagues to convert retail challenges into AI solutions
What you bring
- You have six to ten years in data science, machine learning or AI, including at least two years leading or managing
- You bring strong retail knowledge and experience with supervised and unsupervised learning, deep learning, NLP and generative AI
- You can use TensorFlow or PyTorch and explain technical concepts in terms business stakeholders can act on
- You hold a degree in statistics, computer science, econometrics or data science, or another listed field
Who this fits
This manager-level role suits someone who can lead AI delivery while working across technical and business teams. Retail technology experience in e-commerce, fashion, grocery or quick-commerce is listed as an additional qualification. The role is based in one of the listed Indian locations, including Hyderabad.
From the employer
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:
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
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.