AI ML Operations Engineer

About the role

The incumbent will research, build, and design artificial intelligence systems to automate predictive models, and design machine learning systems, models and schemes. They will own production systems, including debugging, incident response, reliability, Service Level Agreements (SLAs), and cost awareness. They will also navigate cloud architecture complexity, working effectively across teams, leading training sessions, and influencing adoption.

Responsibilities

• Designs production-grade ML systems end-to-end (data → training → deployment → monitoring)
• Owns production systems (debugging, incident response, reliability, SLAs, cost awareness)
• Builds reusable platform patterns that reduce duplication and enable teams to ship faster and more safely
• Navigates cloud architecture complexity (AWS/Databricks/IaC) with a bias toward simplicity and maintainability
• Works effectively across teams (data science, engineering, platform), can lead training, can influence adoption

Qualifications

• Bachelor's degree in computer science, mathematics, physics, engineering or related field required
• Master's degree is highly preferred. Equivalent combination of advanced education and relevant experience will be considered
• A minimum of 3 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
• Strong 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
• Experience with Docker for containerization and Kubernetes for orchestration
• Knowledge of Terraform and Ansible for automating infrastructure management
• Understanding of data engineering principles and databases (relational, NoSQL)

Additional Desired Qualifications

• Certified in Amazon Web services (AWS) cloud provider is highly preferred

Pay

Commensurate with experience

Schedule

Varies

Benefits

TBD