AI Sr Machine Learning Engineer

Bachelor’s degree in computer science, mathematics, physics, engineering or related field required
A minimum of 7 years of experience and deep knowledge in orchestration methods and tools to optimally use computational infrastructure, and machine learning methods and algorithms
Strong Python or R programming skills required
Knowledge of Linux environment required
Strong knowledge of Microsoft products (Excel, Project, PowerPoint, Word, Power BI)
Experience developing, architecting, and running ML or deep learning workload in the Cloud
Ability to express the intuition behind basic ML algorithms
Experience performing basic hyper parameter optimization
Ability to follow model training, deployment, and operational best practices
Experience with Docker for containerization and Kubernetes for orchestration
Knowledge of Terraform and Ansible for automating infrastructure management
Knowledge of YAML for automating model and application code deployment
Understanding of data engineering principles and databases (relational, NoSQL)

Design the right machine learning model architecture and model type
Lead and coach a team of AI Machine Learning Operations Engineers with a highly engaging leadership style that positively influences their performance, productivity, and development
Lead the design of the right machine learning model architecture and model type for particular applications
Tune the hyper-parameters of algorithms
Perform training and validation of models
Create workflows to optimize performance for computationally heavy workloads
Work with data scientists to improve the data and model for optimal accuracy