Walmart is looking to boost associate productivity day-to-day and provide platform capabilities to internal teams to build their Generative AI agents and experiences by developing and deploying Generative AI solutions.
Requirements
- Proficiency in traditional machine learning algorithms (e.g., multi-class classification, decision trees, support vector machines) and deep learning (e.g., CNNs, LLMs).
- Expertise in statistical analysis and programming languages such as Python, and experience with mainstream machine learning frameworks (e.g., PyTorch, TensorFlow).
- Proficiency in machine learning algorithms and evaluation frameworks.
- Using open source frameworks (for example, scikit learn, tensorflow, torch)
- Data science, machine learning, optimization models
- Successful completion of one or more assessments in Python, Spark, Scala, or R
Responsibilities
- Work with lead data scientists to design, architect, and build AI/ML models and systems.
- Design and implement scalable evaluation pipelines to assess enterprise-level AI/ML solution performance.
- Partner with machine learning engineers to deploy, operate, and optimize scalable solutions.
- Collaborate with product managers to design user journeys, feedback loops, and analyze user telemetry.
- Develop your skills through end-to-end AI/ML product experience.
- Establish robust work standards to ensure the development of trustworthy AI/ML solutions.
- Demonstrated success in building and scaling GenAI and Agentic AI solutions in a professional environment at scale.
Other
- Collaborate in a highly multidisciplinary team environment.
- 4+ years of industry experience with a proven track record of ownership and delivery of ML-based models/solutions in production environments.
- Ability to execute trustworthy AI/ML practices in collaboration with stakeholders across the enterprise.
- Experience coaching junior data scientists through technical and business challenges.
- Strong communication skills, including the ability to share research progress, breakthroughs, and product innovations through publications, presentations, and other mediums.
- Strategic thinker and hands-on builder, able to set high-level architectural vision and dive deep into optimization when needed.
- Thrive in fast-paced, ambiguous environments and enjoy turning complexity into clear action.