11 ml data engineer jobs at 3 companies in Centerton, AR
🚀PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yrOn-SiteFull Time
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
3+ YOE3+ years data engineering experience; expertise in SQL, Python or R; cloud data platforms (GCP/BigQuery), data lakes/warehouses, distributed processing, ML/LLM/GenAI, Docker/Kubernetes, relational and non-relational databases.
Albany or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or New York or Cleveland or Oklahoma City or Austin or Chicago or St. Pete or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$54k-$196k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
2+ YOE2+ years in data engineering/analytics/ML with 2+ years practical Google Cloud experience; strong SQL, Python, data modeling and pipeline skills; client-facing communication; Bachelor's degree or equivalent experience.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
Advanced experience in ML/AI, Python and related libraries, ML engineering and MLOps, large-scale model deployment in cloud (ideally GCP), strong communication, and research/publication experience. Degree + experience or extensive analytics experience required.
Python, Pandas, Polars, NumPy, PySpark, TensorFlow, PyTorch, Google Vertex, MLFlow, ClearML, Git, GitHub, GitHub Actions, FastAPI, API Gateway, GCP, scikit learn, Spark, Scala, R
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
1+ YOEAdvanced experience building and deploying production ML/AI systems, agentic AI and autonomous agents, strong statistical and engineering skills, proficiency in Python, SQL, and ML frameworks; masters or higher preferred.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
8+ YOEEnterprise AI infrastructure and GenAI platform expertise; 8+ years in AI/ML infrastructure or ML platform engineering; graduate degree preferred; deep systems design, distributed training, inference, and vector retrieval experience.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
3+ YOEAdvanced AI/ML expertise with Python, PySpark and SQL; causal inference, NLP/LLMs, MLOps, leadership and software engineering rigor. MS/PhD preferred or equivalent experience (options include BS+5yrs, MS+3yrs, or 7yrs).
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
3+ YOE3+ years software engineering experience (or 5 years without a degree) with proficiency in Java/Scala, cloud data technologies, AI/ML integration, design, coding, testing, and mentoring.
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
3+ YOE3+ years software engineering experience (or 5+ years without a degree). Proficiency in Java/Scala, backend development, AI/ML integration, cloud and data technologies, strong design and leadership skills.
Java, Python, Apache Spark, Google Cloud, Airflow, DataProc, BigQuery, NoSQL, Cassandra, MongoDB, Scala, AI/ML, generative AI tools, Agentic AI
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
5+ YOE5+ years product management experience (or 7 years alternative), bachelor’s in CS/engineering or related preferred, experience building and scaling customer-facing digital products, data-driven product management, stakeholder influence, familiarity with AI/ML and accessibility.