About the Company
Jobot Consulting is recruiting on behalf of a leading West Coast healthcare system seeking a Machine Learning Engineer for a remote consulting engagement. The client operates in the healthcare sector and requires a professional with experience in healthcare environments and electronic health record (EHR) systems.
About the Role The healthcare client is seeking a Machine Learning Engineer for a remote consulting assignment lasting at least 12 months, with the possibility of extension. The role focuses on developing, deploying, and maintaining production-grade machine learning and generative AI solutions, including predictive models, large language models (LLMs), natural language processing (NLP), and retrieval-augmented generation (RAG).
You will contribute to scalable ML infrastructure, automate deployment workflows, and improve model performance, monitoring, and reliability. Working with data scientists, data engineers, analytics professionals, and DevOps teams, you will help ensure that machine learning solutions meet technical, business, security, and healthcare compliance requirements.
Key Responsibilities
Deploy and maintain production-grade machine learning models, ensuring reliable, scalable performance and real-time inference capabilities.
Develop scalable end-to-end machine learning infrastructure using cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Lead engineering efforts to develop and implement workflows for machine learning and generative AI model engineering, LLM advancements, and deployment optimization.
Build AI pipelines for data ingestion, preprocessing, search, and retrieval to meet technical and business requirements.
Collaborate with data scientists, data engineers, analytics teams, and DevOps professionals to design and implement reliable deployment pipelines.
Implement and optimize CI/CD pipelines to automate testing and deployment for machine learning models.
Establish monitoring and logging solutions to track model performance, system health, and anomalies.
Implement version control for machine learning models and associated code to support collaboration and change tracking.
Apply security and compliance practices to protect data and maintain privacy in machine learning systems.
Maintain clear documentation of MLOps processes, configurations, and deployment workflows.
Manage the end-to-end machine learning lifecycle, from development through deployment and ongoing maintenance.
Use Terraform to automate infrastructure management and support consistent deployment environments.
Apply predictive modeling, LLMs, NLP, and RAG approaches to address healthcare use cases.
Required Qualifications
At least three years of relevant experience as a Machine Learning Engineer.
Bachelor’s degree in Computer Science, Artificial Intelligence, Informatics, or a closely related field.
Hands-on experience working in healthcare settings and with electronic health record (EHR) systems.
Understanding of healthcare regulations and standards, including the integration of machine learning models with EHR systems.
Experience managing the end-to-end machine learning lifecycle.
Experience with infrastructure automation using Terraform.
Knowledge of containerization technologies such as Docker or orchestration platforms such as Kubernetes.
Experience with CI/CD tools such as GitHub Actions.
Programming proficiency in Python, R, and SQL.
Strong understanding of software coding, architecture, and deployment processes.
Knowledge of key model and system performance metrics.
Extensive experience in predictive modeling, LLMs, and NLP.
Ability to explain the benefits and applications of RAG frameworks with LLMs.
Experience deploying and maintaining production-grade machine learning models.
Experience developing scalable ML infrastructure on cloud platforms.
Knowledge of monitoring, logging, model versioning, security, and compliance practices.
Preferred Qualifications
Master’s degree in Computer Science, Artificial Intelligence, Informatics, or a closely related field.
Machine learning certifications.
Compensation and Contract Details
Hourly pay range: $75–$94.
Contract duration: 12 months or longer, with potential extension.
Employment type: Remote consulting engagement.
Work schedule: Pacific Time (PST) hours.
Work Arrangement
Remote position. Candidates must reside in the Pacific, Mountain, or Central time zone. Healthcare industry experience and EHR expertise are mandatory for consideration.
Equal Employment Opportunity
Jobot is an Equal Opportunity Employer committed to an inclusive workplace. All qualified candidates receive consideration without discrimination based on race, color, religion, age, sex, national origin, disability, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.