Senior Machine Learning Engineer (Generative AI)

Senior Machine Learning Engineer, MLOpsALTEA Healthcare is a leading healthcare organization committed to revolutionizing the delivery of outpatient/post-acute care. We are seeking an experienced Machine Learning Engineer to join our team. The ideal candidate will have a strong background in deploying scalable ML models, including predictive/classification and NLP/NLU models. As an important member of the AI team, this person will contribute significantly to designing, implementing, and deploying various AI/ML product features to improve care delivery and quality for post-acute patients.Responsibilities:Develop and deploy production-ready ML models, with a focus on scalability and monitoring across a broad range of applications within healthcareWrite efficient, maintainable, and scalable Python codeCollaborate with machine learning scientists and data engineers to translate prototype code to production-ready codeSet up and maintain end-to-end pipelines including data ingress, egress, model inference, and model retrainingBuild high-performance deployment architectures and model monitoring systemsIncorporate feedback from cross-functional teams and refine the ML-driven applications through quick iteration cyclesMaintain best practices of MLOps practices within the healthcare industryDocument the system architecture, design decisions, and codebase to facilitate future maintenance and enhancements.Key Responsibilities and Qualifications:Proven experience in deploying, scaling, integrating, and maintaining generative AI applications.Strong expertise in unit testing and regression testing to ensure quality and stability.Preferred Experience working with Azure DevOps, Azure App Services, and Azure Functions.Preferred Experience with fine-tuning and pre-training language models and embedding models.Note: This role is specifically focused on the deployment and integration of generative AI applications. It is not intended for data scientists, individuals primarily focused on building dashboards, or those with experience limited to traditional ML models and model development.Other Requirements:Bachelor's or Master's degree in Engineering, Computer Science, or equivalent experienceAt least 4-5 years of relevant experience as an MLOps Engineer4-5+ years of experience doing MLOps, model monitoring, drift detection, and model retrainingAzure Machine Learning StudioExperience with transformer-based models and NLP, preferably in a healthcare contextExtensive experience with TensorFlow or PyTorch, and familiarity with HuggingFaceTrack record of fine-tuning, running large-scale training jobs, and managing model servers like vLLM, TGI, or TorchServeStrong proficiency in LangChain, vectorDB and cloud platforms (Azure), model experimentation tools like MLflow, and monitoring tools like Grafana/Splunk, and CI/CD like airflow, gitlab, and Big Data management like Spark, KafkaAbility to work independently and collaboratively, manage priorities, and deliver high-quality results within project timelinesJob Type: Full-timePay: Competitive pay, benefits, and extremely valuable startup stock optionsSchedule: Full TimeWork Location: Hybrid in Houston, TXBenefits:401(k)Dental insuranceHealth insuranceVision insurance

Created: 2025-01-30