Machine Learning Engineer
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Machine Learning Engineer developing AI and NLP solutions to improve healthcare processes and connectivity. Collaborating with teams to enhance machine learning models and automating data pipelines.
Responsibilities:
- Support our goal of connecting providers, payers, and patients to the Internet of Healthcare
- Use Natural Language Processing and Artificial Intelligence/Machine Learning toolkits to build solutions
- Develop machine learning architectures to make Availity better at determining prior authorization
- Design experiments to test architectures and deploy selected models as service endpoints
- Monitor models in production and update models to improve performance
- Automate processes where possible
- Understand and maintain data pipelines from raw sources to feature stores for models
- Communicate within the team on project status and blockers
Requirements:
- Master’s degree in Data Science, Data Analytics, Business Analytics and Information Systems or a directly related field
- 3 years of experience as a data scientist, machine learning engineer or related occupation
- 2 years of experience with designing and deploying end-to-end regression and classification models on AWS SageMaker
- 2 years of experience with Databricks using scikit-learn and PySpark ML
- 2 years of experience with Natural Language Processing
- 2 years of experience with Hugging-Face with PyTorch to process unstructured text and generate dense embeddings for text understanding applications
- 2 years of experience with healthcare data standards, including EDI 835/837 and medical coding systems, including ICD-10, CPT, HCPCS, and SNOMED-CT, and secure handling of PHI and PII
- 1 year of experience with developing and deploying RESTful web APIs for ML model inference using FastAPI, Flask, and Django frameworks
- 1 year of experience with Docker containerization for scalable environments for machine learning models and cloud native deployment using Amazon ECS and EKS
- 1 year of experience writing queries using PySpark on Databricks to retrieve and process semi-structured data
Benefits:
- Video participation is required for virtual meetings to enhance security and communication.
Similar Jobs
Senior Manager – Machine Learning
Senior Manager leading the Machine Learning team to enhance CCC’s subrogation products. Collaborating with stakeholders and delivering innovative AI solutions in the insurance technology space.
Senior AI/ML Engineer
Senior AI/ML Engineer designing and implementing workflows leveraging LLMs at iBusiness. Collaborating with cross-functional teams to develop scalable AI-driven solutions.
Machine Learning Engineer – Mid-level
Machine Learning Engineer responsible for developing and operating scalable ML solutions at Extractta. Collaborating with product, data, and engineering teams to deliver robust models.
Senior Machine Learning Engineer
Senior Machine Learning Engineer at IQVIA leading ML applications design focusing on generative AI solutions. Collaborating with teams and guiding development of production-grade algorithms.
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing core ML models and data pipelines for a gaming company. Seeking an autonomous engineer with deep passion for video games.
Machine Learning Engineer
Machine Learning Engineer developing AI safety solutions at Gray Swan. Focus on real-world impact in adversarial testing and model evaluation.
Staff Machine Learning Engineer – Generative AI, Full-Stack Applications
Senior Machine Learning Engineer developing AI solutions and full-stack applications for CVS Health. Collaborating with teams to design and prototype secure, resilient products and platform components.
Senior Machine Learning Engineer – Consultant
Senior AI/ML Engineer Consultant responsible for implementing AI solutions and mentoring juniors at leading AI consultancy Provectus. Join to solve complex technical challenges and impact enterprise clients.
Machine Learning Engineer
Machine Learning Engineer designing and evaluating deep learning models for agricultural robotics applications. Collaborating with engineers and product teams to enhance model performance in real-world scenarios.
Senior Machine Learning Engineer – AI Product
Machine Learning Engineer for AI Product team at Qonto, developing customer-facing AI solutions. Collaborating with stakeholders and ensuring integration of ML solutions into financial services.
ML Engineer – Agents, Data
Senior ML Engineer for AI product development in a leading social discovery company. Working on large-scale ML systems and cutting-edge generative AI technologies.
Senior MLOps
MLOps role enhancing ML infrastructure and deployment for a global travel-tech company. Focus on managing ML services and optimizing resources in a fully remote setup.
MLOps Engineer
ML Ops Engineer designing and maintaining ML workflows using AWS services. Collaborating with data scientists to ensure reliable and scalable models in production.
Machine Learning Lead
Machine Learning Lead driving AI initiatives for LexisNexis Legal & Professional, delivering scalable, robust solutions with hands-on leadership and mentoring.
Senior ML Engineer
Senior AI Engineer contributing to AI engineering teams at Relativity. Design and develop scalable AI systems, collaborating with cross-functional teams and driving engineering excellence.
AI/ML Engineer
AI/ML Engineer developing AI solutions for professional services firms. Working on production models and real data to enhance client relationships.
Machine Learning Engineer
Machine Learning Engineer developing AI capabilities within Zillow’s Agentic AI team. Focusing on production-grade systems that enhance real estate experiences through advanced reasoning.
Senior Machine Learning Engineer – ML/AI Team
Senior Machine Learning Engineer at A Place for Mom focused on developing ML and AI solutions. Designing and implementing advanced AI models to drive business impact using unstructured data.
Senior Machine Learning Engineer
Senior Machine Learning Engineer responsible for the full ML lifecycle at Button. Collaborating with data teams to build systems that integrate machine learning into commerce and monetization products.
Senior Machine Learning Engineer
Senior Machine Learning Engineer developing AI solutions for customer service at Replicant. Leading exploration of Large Language Models and Generative AI for innovative user experiences.