Enterprise Account Manager, State and Local Government
NVIDIA
Senior Machine Learning Engineer
ShyftLabs
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSUnity
About the role
- Position Overview: ShyftLabs is seeking an experienced Senior Machine Learning Engineer to design and implement ML infrastructure and assess Agentic BI readiness for Fortune 500 enterprise companies. You will build robust MLOps platforms, design scalable ML pipelines, and provide strategic guidance for implementing autonomous business intelligence and AI-driven analytics systems.
- ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Requirements
- Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering, or related quantitative field
- 5+ years of experience in ML engineering with Fortune 500 enterprise-scale implementations
- Expert-level experience with MLflow for model lifecycle management and experimentation tracking
- Deep hands-on experience with Databricks ML platform including Unity Catalogue for ML governance
- Proven experience with AWS ML services including SageMaker, model deployment, and managed ML infrastructure
- Strong background in machine learning algorithms including supervised/unsupervised learning, ensemble methods, and deep learning
- Experience with generative AI and LLM integration for business intelligence applications and semantic data modeling requirements
- Knowledge of feature store architectures, ML data management patterns, and model versioning/automation workflows
