Walmart is looking to enhance associate experience and productivity by developing and deploying AI/ML solutions.
Requirements
- Proven experience deploying high-risk NLP applications in real-world, production environments.
- Demonstrated ability to advance and implement Trustworthy AI and Responsible ML practices.
- Strong applied machine learning experience, with solid foundational knowledge in statistics, optimization, and deep learning.
- Advanced proficiency in Python and common ML/DS libraries such as NumPy, pandas, scikit-learn, as well as deep learning frameworks like TensorFlow, PyTorch.
- Experience designing and deploying scalable deep learning systems, including neural network architecture optimization, model distillation, quantization, or on-device inference.
- Strong understanding of machine learning infrastructure, including experience with Kubeflow, MLflow, Airflow.
- Hands-on experience with Text-to-SQL or Text-to-Cypher based application, or the design of modern recommender systems.
Responsibilities
- Develop LLM-powered intelligent experiences that interpret and generate insights from both tabular and unstructured data.
- Build and optimize personalized Q&A systems using large language models, enabling context-aware responses tailored to user needs.
- Design and enhance conversational talent recommendation systems, combining autonomous agent architectures with personalized recommendation algorithms.
- Advance traditional recommendation systems by evolving them from simple ranked lists to multi-topic, interactive experiences that better reflect user intent.
- Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences.
- Collaborate within a highly cross-functional team, including data scientists, machine learning engineers, product managers, and UX designers.
- Partner with fellow data scientists to design, prototype, and iterate on AI/ML models and system architectures.
Other
- 5+ years of industry experience, with a demonstrated ability to take ownership of complex projects and deliver impactful AI/ML solutions from concept to production.
- Excellent communication skills with the ability to synthesize complex technical work into accessible insights for executive briefings, research publications, and external presentations.
- Track record of mentoring and coaching junior data scientists, especially in navigating ambiguous or novel problem spaces.
- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
- Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
