- Company Name
- Next Ventures
- Job Title
- AI Operations Engineer
- Job Description
-
Job title: AI Operations Engineer
Role Summary: Responsible for deploying, monitoring, and scaling AI/ML models in production, ensuring reliability, performance, and security across cloud environments. Collaborates with data science, engineering, and product teams to optimize AI workflows and support enterprise AI initiatives.
Expectations: Deliver robust, scalable AI infrastructure; maintain high uptime and performance; automate end‑to‑end model pipelines; implement CI/CD, monitoring, and incident response; stay current with AI Ops best practices.
Key Responsibilities: • Deploy, monitor, and maintain AI/ML models in production environments. • Automate model training, validation, deployment, and update workflows. • Design and implement scalable cloud infrastructure (AWS, GCP, Azure). • Ensure system reliability, performance, and security for AI applications. • Collaborate with data science teams to optimize model performance and troubleshoot issues. • Establish and improve CI/CD pipelines for AI models and workflows. • Maintain documentation of AI operations processes and tools. • Monitor system metrics and implement proactive incident response measures. • Keep abreast of emerging AI Ops practices, tools, and technologies.
Required Skills: • Proven experience deploying and managing AI/ML models in production. • Strong knowledge of cloud platforms (AWS, GCP, Azure). • Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Scikit‑learn. • Experience with containerization (Docker, Kubernetes). • Familiarity with DevOps practices and CI/CD tools (Jenkins, GitLab CI). • Understanding of data pipeline and orchestration tools (Airflow, Kubeflow). • Excellent problem‑solving, communication, and documentation skills.
Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • Relevant certifications in cloud platforms or DevOps (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, Kubernetes Administrator) are preferred.
New york city, United states
Hybrid
25-09-2025