AI/ML Ops Engineer – AI Platform and Operations

Advocate is a mission-driven technology company revolutionizing the way Americans access critical federal benefits. They are seeking a seasoned Senior AI/ML Ops Engineer to enhance their AI Platform by developing, deploying, and managing AI/ML operations, collaborating with AI researchers and developers to create scalable tools for AI model training and deployment.

Responsibilities:

• Develop, deploy, and manage AI/ML operations
• Create a robust infrastructure that supports innovative AI-driven applications and services
• Address complex workflows and enable rapid prototyping and deployment of AI models
• Collaborate closely with AI researchers, developers, and data scientists
• Develop and manage a suite of AI tools and environments designed to support the research and development of cutting-edge AI models
• Create scalable, efficient tools for model training, evaluation, and experimentation
• Maintain and optimize reliable AI pipelines and services
• Ensure seamless integration, deployment, and operation of AI models within the platform
• Automate model training, deployment, monitoring, and management processes
• Lead the development and operation of a web-based application for AI prototyping
• Provide an intuitive interface for experimenting with AI models, accessing datasets, and deploying prototypes for evaluation

Requirements:

• Advanced degree (M.S., Ph.D., or equivalent) in Computer Science, Engineering, or a related field
• Extensive experience (5+ years) in AI/ML operations, including the development and management of AI/ML tooling, pipelines, and services
• Deep understanding of DevOps practices, including continuous integration and continuous delivery (CI/CD)
• Proficiency in using DevOps methodologies to streamline AI model development and deployment
• Strong experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration platforms
• Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and their AI/ML services
• Expertise in programming languages such as Python, Java, or C++
• Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and MLOps tools (e.g., MLflow, Kubeflow)
• Experience with version control systems (e.g., Git) and collaborative development tools (e.g., Jira, Confluence)
• Skilled in analyzing complex challenges, developing innovative solutions, and working collaboratively with cross-functional teams
• Strong problem-solving and debugging skills, with the ability to troubleshoot and resolve issues in AI/ML pipelines and infrastructure
• Excellent communication and interpersonal skills, with the ability to effectively convey technical concepts to both technical and non-technical audiences
• Proactive and self-motivated, with a strong desire to learn and stay up-to-date with the latest trends and advancements in AI/ML, DevOps, and web development
• Experience with agile development methodologies and working in fast-paced, dynamic environments