Job Description
We’re currently seeking a seasoned Machine Learning Engineer who thrives at the intersection of data science, engineering, and operations. This role is ideal for someone who has not only mastered the craft of building and scaling ML solutions, but also knows how to put them into production, and keep them running smoothly.
What You’ll Be Doing: The role is a mix of MLOps, platform development, and hands-on model engineering. You’ll be responsible for designing automated workflows that take ML models from development to deployment with minimal friction. This includes developing robust CI/CD pipelines (preferably using Azure DevOps or GitHub Actions) and managing model lifecycle tasks such as versioning, monitoring, and retraining. A large portion of your time will be spent working within Databricks—developing feature pipelines, optimizing model workflows, and integrating ML components with existing SaaS systems. You’ll also help migrate and scale models within an environment already hosting over 100 ML models, with another 25+ targeted for transition. On the application side, you’ll work closely with data scientists to productionalize machine learning prototypes. You’ll select appropriate algorithms, build scalable ML systems using Python-based frameworks like TensorFlow and PyTorch, and help tune and evaluate performance over time. The Ideal Candidate Brings:...Anders Group is seeking a travel nurse RN Wound Care for a travel nursing job in Cambridge, Massachusetts. Job Description & Requirements ~ Specialty: Wound Care ~ Discipline: RN ~ Start Date: 07/21/2025~ Duration: 13 weeks ~40 hours per week ~ Shift:...
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