
AI Innovator
1 day ago
Drive Business Growth with AI Innovation
Achieve Product-Level Profitability and Margin Expansion through Data-Driven Insights.
Leverage cutting-edge technology that aggregates and analyzes billions of data points across global retail markets, providing a comprehensive suite of solutions for strategic and operational decision-making.
We are seeking a visionary Senior Data Scientist to spearhead the application of AI/ML in the retail and e-commerce space. As a key leader in our team, you will design, develop, and deploy next-generation AI systems that drive measurable business impact.
Your responsibilities will include:
- Leading and mentoring a team of data scientists, fostering innovation and best practices in AI/ML.
- Exploring, designing, and deploying agentic AI architectures (multi-agent collaboration, autonomous decision-making, orchestration frameworks).
- Experimenting with and operationalizing Large Language Models (RAG pipelines, fine-tuning, prompt optimization, domain adaptation, agent integration).
- Advancing product recognition, OCR, embedding-based similarity, and visual transformers to improve catalog accuracy, image-based search, and content QA.
- Architecting and deploying robust data pipelines and real-time AI services that handle large-scale retail/e-commerce datasets.
- Partnering with product managers, engineers, and business leaders to design AI solutions aligned with customer needs and revenue goals.
- Staying ahead of emerging trends in LLMs, agentic AI, generative AI, multimodal models, and translating them into practical solutions for retail.
You will require:
- 10+ years of proven experience in Data Science with leadership responsibilities.
- Strong programming skills in Python or C++, with expertise in ML frameworks (PyTorch, TensorFlow, Hugging Face).
- Deep expertise in transformers, BERT, GPT-based architectures, and neural networks.
- Hands-on experience in computer vision (CNNs, visual transformers, OCR, multimodal embeddings).
- Experience with LLMs and Agentic AI, including fine-tuning and deploying LLMs at scale, building multi-agent AI systems, and retrieval-augmented generation pipelines.
- Strong foundation in data engineering and scalable systems (Spark, Airflow, Kafka, or similar).
- Deep domain expertise in retail & e-commerce ecosystems.
- Demonstrated experience in mentoring and leading teams.
- Advanced degree in Computer Science, ML/AI, or related field.
This role offers the opportunity to make a significant impact on the retail industry by leveraging AI/ML innovation.
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