Brightvision · 14 hours ago
MLOps Engineer
United States
Full-time
Remote
Mid LevelBright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking a skilled MLOps Engineer to architect and implement MLOps platforms that streamline Machine Learning Pipelines and contribute to transforming business processes through technology.
AdvertisingB2BMarketing
Responsibilities
Architect and implement MLOps platforms to streamline Machine Learning Pipelines, from experimentation to production deployment
Build scalable Model Deployment & Monitoring solutions using Python, TensorFlow, and PyTorch, ensuring real-time inference and drift detection
Leverage MLflow for experiment tracking, model registry, and lifecycle management across diverse ML workflows
Design and manage Feature Stores for efficient feature engineering, serving, and versioning to accelerate model development
Automate CI/CD pipelines with Git, Docker containerization, and Kubernetes orchestration for seamless model updates and rollbacks
Provision cloud-native infrastructure on AWS, Azure, or GCP using Infrastructure as Code (Terraform) for reproducible ML environments
Implement Data Versioning practices (e.g., DVC) alongside model artifacts to maintain reproducibility and auditability
Optimize Linux-based systems for high-performance ML operations, including GPU/TPU resource management
Collaborate in Agile methodologies, driving iterative delivery of MLOps features through sprints and stakeholder alignment
Monitor and scale production ML systems, proactively addressing performance issues, cost optimization, and compliance needs
Qualification
Required
Architect and implement MLOps platforms to streamline Machine Learning Pipelines, from experimentation to production deployment
Build scalable Model Deployment & Monitoring solutions using Python, TensorFlow, and PyTorch, ensuring real-time inference and drift detection
Leverage MLflow for experiment tracking, model registry, and lifecycle management across diverse ML workflows
Design and manage Feature Stores for efficient feature engineering, serving, and versioning to accelerate model development
Automate CI/CD pipelines with Git, Docker containerization, and Kubernetes orchestration for seamless model updates and rollbacks
Provision cloud-native infrastructure on AWS, Azure, or GCP using Infrastructure as Code (Terraform) for reproducible ML environments
Implement Data Versioning practices (e.g., DVC) alongside model artifacts to maintain reproducibility and auditability
Optimize Linux-based systems for high-performance ML operations, including GPU/TPU resource management
Collaborate in Agile methodologies, driving iterative delivery of MLOps features through sprints and stakeholder alignment
Monitor and scale production ML systems, proactively addressing performance issues, cost optimization, and compliance needs
Company
Brightvision
Brightvision is a lead generation agency for B2B tech companies.
Founded in 2000
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase