Senior Associate Data Science/Machine Learning - Chicago - Hybrid
Core
Design, develop, and deploy machine learning models at scale to solve complex business problems and drive business impact.
Role type
Senior IC machine learning engineer (MLOps)
Builds
Robust, scalable, and efficient AI/ML systems in production
Domain
Technology consulting and digital transformation
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, MLOps, CI/CD pipelines, model monitoring, cloud-based ML platforms (AWS SageMaker, GCP AI Platform, Azure ML), data engineering, big data technologies
Preferred skills
Kubernetes, Docker, containerization, time-series forecasting, NLP, computer vision, ML engineering certifications
Technologies
AWS, GCP, Azure, Kubernetes, Docker
Responsibilities
Design and implement end-to-end ML solutions; Optimize and scale machine learning pipelines; Ensure reliability and maintainability of AI/ML systems; Utilize cloud platforms for model training, deployment, and monitoring; Implement best practices in data preprocessing and feature engineering
Seniority
Senior, hands-on IC
