Top Tech Jobs & Startup Jobs

Build and productionize end-to-end ML solutions for Walmart Marketplace. Own MLOps lifecycle, develop scalable training/inference/monitoring pipelines, apply SRE principles, build Kafka logging pipelines, mentor engineers, and align models with business goals.

Design, research, and deploy state-of-the-art ML/AI solutions (deep learning, RL, NLP, LLMs) for Walmart Marketplace. Build scalable ML pipelines, optimize models for production, collaborate with engineering and product teams, and integrate big-data systems (Spark/Hadoop) and cloud platforms to drive business impact.

Lead end-to-end data science projects to design and optimize omnichannel supply chain strategies for perishable first-mile. Build scalable models (optimization, ML, RL, causal inference), run pilots, create dashboards, influence cross-functional execution, and deliver measurable business impact.

Senior Data Scientist will design, validate, and deploy scalable ML models (recommendation systems, NLP), source and ensure data quality, assess model performance, produce visualizations, collaborate with stakeholders, and mentor junior team members to deliver data-driven solutions that optimize business outcomes.

Design, build, and maintain high-performance, scalable Java backend services and microservices for Walmart's catalog platform. Troubleshoot production issues, perform root-cause analysis, mentor junior engineers, work in agile teams, and contribute to cross-functional projects while leveraging cloud, CI/CD, NoSQL, and generative AI/ML technologies.

Design, develop, and maintain low-level, high-performance OS code for TV embedded devices. Work on BSPs, device bring-up, firmware, Linux kernel internals, drivers, and performance/debugging. Collaborate across product, hardware, software, and cloud teams during new product introduction, troubleshoot production issues, perform root-cause analysis, and implement fixes. Use C/C++, modern C++ standards, shell scripting, Git, and Linux profiling/debugging tools.

Lead data science strategy and a rapid-prototyping team to build production-grade ML and GenAI solutions for contractor earnings, tax, and compliance. Drive model governance, automation, and cross-functional delivery to reduce errors, mitigate risk, and scale measurable ROI across product, engineering, and operations.