RAPID EAGLE INC

Role Description We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, model deployment, and cloud technologies. - Design, develop, and deploy machine learning models for predictive analytics, classification, recommendation systems, and NLP applications. - Build and optimize end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, and deployment. - Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate business requirements into ML solutions. - Develop and maintain scalable APIs and microservices for model serving. - Monitor model performance, retrain models, and implement MLOps best practices. - Work with large-scale structured and unstructured datasets. - Optimize model accuracy, scalability, and reliability in production environments. - Implement CI/CD pipelines for ML model deployment and lifecycle management. Qualifications - 5+ years of experience in Machine Learning Engineering or Data Science. - Strong programming skills in Python. - Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost. - Strong understanding of machine learning algorithms, statistics, and data structures. - Experience with SQL, data processing, and feature engineering. - Hands-on experience with cloud platforms such as AWS, Azure, or GCP. - Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps tools. - Knowledge of REST APIs, microservices architecture, and model deployment. - Experience working with distributed computing frameworks such as Spark. Benefits - 401(k) matching - Dental insurance - Health insurance

Role Description AWS Healthcare Data Engineer 100% Remote Qualifications - 8+ years of hands-on data engineering experience with strong focus on AWS + Databricks environments. - Proven track record of migrating PostgreSQL workloads from AWS to modern lakehouse platforms. - Databricks Certified Data Engineer (Associate or Professional). - Experience with healthcare data and regulatory formats including X12 837, HL7, EBCDIC files, etc. - Deep expertise in data masking, governance frameworks, and working in HIPAA-regulated environments. - Familiarity and working knowledge in adhering to CI/CD processes and practices in a cloud ecosystem. - Proficiency in PySpark, SQL, Delta Lake, and data transformation in Databricks. - Solid understanding of data ingestion from AWS (S3, Glue, Lambda) into Databricks. Requirements - Familiarity with FHIR, X12 837, HL7, or other clinical data standards. - Experience with Unity Catalog and Lakehouse governance frameworks. - Knowledge of Agile methodologies and CI/CD practices for data pipelines. - This role is healthcare domain-focused, and prior experience working with payers, providers, or healthcare clearinghouses is highly desirable. - This is a remote position. Benefits - 401(k) matching - Dental insurance - Health insurance

Benefits: - 401(k) matching - Dental insurance - Health insurance Sr.AWS Solutions Architect Sunnyvale, California Onsite Role Skills:- - Required Experience & Qualifications - 10–15+ years of IT experience, 6+ years in AWS architecture, - 5+ years in DevOps. - - Expertise in AWS compute, storage, networking, and security. - - Strong experience with Kubernetes/EKS. - - Strong scripting: Python, Shell, PowerShell. - - Experience presenting to architecture boards or leadership teams. This is a remote position.