Machine Learning Engineer jobs in United States
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Tucker Parker Smith Group (TPS Group) · 3 hours ago

Machine Learning Engineer

Tucker Parker Smith Group (TPS Group) is a leading private university in Los Angeles seeking a highly skilled Machine Learning Operations (MLOps) Engineer to support enterprise-wide artificial intelligence initiatives within its medical enterprise. The role involves full lifecycle management of machine learning models, collaborating with various stakeholders to deliver scalable and reliable AI solutions that enhance patient care and improve operational efficiency.

Staffing & Recruiting
Hiring Manager
Ted Hurvul
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Responsibilities

Design, deploy, and maintain production-ready machine learning models with a focus on scalability, reliability, and real-time inference
Build and maintain end-to-end MLOps pipelines for model training, versioning, deployment, monitoring, and lifecycle management
Develop scalable machine learning infrastructure using on-premise or cloud platforms such as AWS, GCP, or Azure
Implement CI/CD pipelines to automate testing, validation, and deployment of machine learning models
Collaborate with data scientists, data engineers, analytics teams, and DevOps teams to operationalize ML and GenAI solutions
Engineer and optimize workflows for predictive modeling, large language models (LLMs), NLP, and retrieval-augmented generation (RAG) frameworks
Implement monitoring and logging solutions to track model performance, system health, and anomalies
Ensure AI systems meet security, compliance, and data privacy standards applicable to healthcare environments
Maintain clear, comprehensive technical documentation for ML models, pipelines, and operational processes

Qualification

Machine Learning EngineeringMLOpsContainerizationInfrastructure AutomationCI/CD ToolsPythonPredictive ModelingHealthcare Domain KnowledgeTechnical DocumentationCollaboration Skills

Required

Bachelor's degree in Computer Science, Artificial Intelligence, Informatics, Engineering, or a related field
3+ years of experience in machine learning engineering or MLOps roles
Proven experience managing the end-to-end machine learning lifecycle in production environments
Strong experience with containerization and orchestration technologies such as Docker and Kubernetes
Hands-on experience with infrastructure automation tools, including Terraform
Proficiency with CI/CD tools such as GitHub Actions
Advanced programming skills in Python, with working knowledge of R and SQL
Deep understanding of software architecture, deployment processes, and performance optimization
Extensive experience in predictive modeling, LLMs, and NLP
Ability to clearly articulate the benefits and applications of RAG frameworks with LLMs

Preferred

Master's degree in Computer Science, Engineering, or a closely related field
Experience working with healthcare data and machine learning use cases
Familiarity with Electronic Health Record (EHR) systems and integrating ML models with clinical systems
Strong understanding of healthcare regulations, data security, and privacy standards

Company

Tucker Parker Smith Group (TPS Group)

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The Tucker Parker Smith Group ( TPS Group), is a professional recruiting and staffing firm.

Funding

Current Stage
Growth Stage

Leadership Team

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Brian Smith
Co-Founder & Managing Partner
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N
Nichole Tonning-Smith
Co-Founder & Chief Operations Officer
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Company data provided by crunchbase