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Sr. Machine Learning EngineerLevi Ray & Shoup Inc • Kansas City, Missouri, United States
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Sr. Machine Learning Engineer

Levi Ray & Shoup Inc
  • US
    Kansas City, Missouri, United States
  • US
    Kansas City, Missouri, United States
Postuler Maintenant

À propos

Job Description Job Description LRS Consulting is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and Generative AI systems. This role focuses on developing advanced ML and LLM-powered applications that leverage structured and unstructured data to drive business impact. The ideal candidate combines strong foundations in traditional machine learning with hands-on experience building and deploying LLM solutions and prompt-engineered systems in production environments.
Responsibilities Design and develop ML and LLM-powered systems using modern GenAI architectures (RAG, prompt engineering, embeddings, vector databases). Transform data science prototypes into production-ready solutions using appropriate ML and GenAI architectures. Build optimized data pipelines to feed both traditional ML models and LLM-based systems. Implement and monitor model and data quality checks to ensure accuracy and consistency in production. Manage the full model lifecycle, including retraining, performance monitoring, and continuous improvement. Partner with Product, Engineering, and Business stakeholders to translate requirements into scalable AI/ML solutions, contributing to system architecture and technical design. Create and maintain documentation for ML and GenAI systems, including prompt libraries, evaluation frameworks, and architectural decisions. Establish and promote best practices across MLOps, LLMOps, and AI system governance. Required Qualifications 5+ years of experience as a Machine Learning Engineer, including work with structured and unstructured data sources, ETL processes, and data quality management. Proficiency in SQL, Databricks, AWS services, Python, and Spark. Experience with ML frameworks such as XGBoost, Scikit-learn, TensorFlow, Keras, or PyTorch. Hands-on experience building and deploying LLM-powered applications, including prompt engineering, evaluation frameworks, RAG, and embedding models/vector databases. Familiarity with MLOps and/or LLMOps tooling and CI/CD workflows. Strong analytical and problem-solving skills with the ability to communicate technical concepts and business impact to non-technical stakeholders. Candidates must have permanent authorization to work in the United States without sponsorship. Third party candidates will not be considered. The base range for this salaried position is $130,000 – $145,000, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations. Individual compensation is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status. In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact with any questions.
  • Kansas City, Missouri, United States

Compétences linguistiques

  • English
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