✦ Luna Orbit — AI & Machine Learning

Senior Associate, Full Stack - Springboot

at KPMG

📍 Tampa, FL, US Onsite 💰 $87K – $188K USD / year Posted April 02, 2026
Salary $87K – $188K USD / year
Type Full-Time
Experience senior
Exp. Years 5+ years
Education Bachelor’s or Master’s degree in Computer Science or equivalent practical experience.
Category AI & Machine Learning

Applied AI/ML Senior Associate building and deploying ML solutions with emphasis on LLMs, agents, and advanced AI methods within enterprise applications.

  • Design, develop, and maintain software with AI/ML capabilities with a focus on AIOps
  • Collaborate with cross-functional teams to gather requirements
  • Develop and implement AI/ML architectures and design patterns
  • Write clean, production-grade code in Python/Java/C/C++/Go
  • Deploy ML models and data pipelines in production environments

Stack includes Python/Java/C/C++, ML frameworks (TensorFlow, PyTorch, scikit-learn, Keras), Apache Spark, AWS/Azure, and LLM-based techniques (Agents, Planning, Reasoning).

The ideal candidate is an experienced AI/ML engineer with 5+ years of production ML experience, strong Python skills, and hands-on expertise with LLMs, agents, and advanced ML methods (ranking, recommender systems, RAG) applied in a cloud environment.

5+ years of experience as a software developer with a focus on integrating AI/ML solutionsStrong programming skills in PythonHands on experience of Large Language Model (LLM) techniquesincluding AgentsPlanningReasoningIn-depth experience with RankingRecommender systemsRAG (Similarity Search)Agent systemsExperience with application architecture and design patternsProficiency in cloud platforms such as AWS or AzureExperience with Apache SparkFamiliarity with ML libraries (TensorFlowPyTorchscikit-learnKeras)
DevOps practicesSQL and NoSQL databasesLinux/UnixTerraformApache Kafka
TensorFlowPyTorchscikit-learnKerasApache SparkAmazon Web ServicesAzureGit
PythonJavaCC++GoML techniquesLLMAgentsPlanningReasoningRankingRecommender systemsRAGSparkAWSAzureTensorFlowPyTorchscikit-learnKeras
PythonJavaCC++GoTensorFlowPyTorchscikit-learnKerasApache SparkAmazon Web ServicesAzureLarge Language Models (LLM)AgentsPlanningReasoningRankingRecommender systemsRAG
collaborationmentorshipleadershipcommunicationproblem-solving
Industry Consulting
Job Function Develop and deploy AI/ML software solutions for enterprise-scale problems
Role Subtype Senior AI/ML Engineer
Tech Domains Python, Java, C, C++, Go, TensorFlow, PyTorch, scikit-learn, Keras, Apache Spark, Amazon Web Services, Azure
applied ai ml senior associateai mlllm techniquesagentsplanningreasoningrankingrecommender systemsragsparkawsazuretensorflowpytorchscikit-learnkerasgenaillmdata pipelinespythonjavacc++go

Less than 3 years of AI/ML development experience, Lack of Python or ML framework experience, No cloud (AWS/Azure) experience

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