8 applied ml engineer jobs at 5 companies in Springtown, TX
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Senior Applied ML Engineer
Irving or Middleton or Denver or Seattle
$123k-$170k/yrHybridFull Time
Paradigm: A software transforming residential and construction industry operations globally.
5+ YOEBachelor's or Master's in CS/ML,5+ years designing and deploying applied ML at scale,experience in CV and NLP,proficiency with Python and ML frameworks,MLops and cloud deployment experience.
Paradigm: A software transforming the residential, construction, and building product industries.
5+ YOE5+ years designing and deploying applied ML systems; expertise in computer vision and NLP; strong Python and ML frameworks; ML Ops; cloud platforms; clear communicator; degree in CS/ML or related field.
Paradigm: Software transforming the residential construction and building product industries.
12+ YOE5+ Mgmt12+ years in applied AI, ML, or software engineering; 5+ years in leadership; degree in CS/ML or related; proven production AI deployment; expertise in LLMs, CV, RAG; strong software & cloud skills.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
6+ YOEDesign and operate AI/ML and GenAI platform services; implement cloud-native architectures across AWS, GCP, or Azure; integrate CI/CD and IaC; apply platform security and access controls.
FedExNYSE: FDX: Global provider of courier, logistics, and transportation services.
3+ YOEBachelor's in CS/Engineering/IS or equivalent,3+ years developing business or operational technology solutions including automation/low‑code/applied analytics; proficiency with Python, AI/ML frameworks, Quickbase/RPA, and Microsoft Office.
Python, TensorFlow, PyTorch, Scikit‑learn, Quickbase, RPA, Microsoft Project, Microsoft Excel, Microsoft PowerPoint, Microsoft Word, Microsoft Outlook
CitiNYSE: C: Global diversified financial services holding.
8+ YOE5+ Mgmt8+ years in Big Data or large-scale apps; 5+ years in a data engineering lead role; experience with Hadoop/Spark/Kafka/Hive, Databricks, Scala/Java/Python, SQL, data modeling, ETL/ELT, microservices, containerization, and applying AI/ML.