URGENT REQUIREMENT:

Title: MLOps Engineer
Location: Ann Arbor, MI (Hybrid)
Duration: 12 months contract

Responsibilities:
Design, implement, and maintain end-to-end machine learning pipelines for model training, validation, and deployment.
Collaborate with data scientists, software engineers, and DevOps engineers to integrate machine learning models into production systems.
Develop automation tools and frameworks to streamline the machine learning workflow, including data preprocessing, feature engineering, model training, and evaluation.
Optimize model performance and scalability by leveraging cloud computing resources and distributed computing techniques.
Implement monitoring and logging solutions to track model performance, data quality, and system health in production.
Manage model versioning, experimentation, and reproducibility using version control systems and experiment tracking tools.
Stay up to date with the latest trends and technologies in machine learning, cloud computing, and software engineering, and incorporate them into the MLOps workflow.
Provide technical guidance and mentorship to junior team members on best practices for MLOps.