remote
Director of AI Operations - Leadfeeder
Engineering Manager
Lead AI Operations for a B2B lead generation platform, overseeing model deployment, data pipelines, and cloud infrastructure using Python, Machine Learning, MLOps practices, AWS and Kubernetes.
About the role
Key Responsibilities
- Define and execute the AI operations strategy, ensuring reliable, scalable deployment of machine‑learning models that power lead‑scoring and intent detection.
- Architect, build, and maintain data pipelines and feature stores that feed real‑time analytics for marketing and sales teams.
- Implement MLOps best practices, including CI/CD for models, automated monitoring, drift detection, and rapid rollback mechanisms.
- Lead a cross‑functional team of data scientists, engineers, and DevOps specialists, fostering a culture of experimentation and continuous improvement.
- Collaborate with product, engineering, and security teams to align AI solutions with privacy regulations and performance SLAs.
Requirements
- 5+ years of experience in AI/ML operations, data engineering, or related fields, with a proven track record of shipping production‑grade models.
- Strong programming skills in Python and familiarity with ML libraries such as TensorFlow, PyTorch, or Scikit‑learn.
- Hands‑on experience with cloud platforms (AWS preferred) and container orchestration (Kubernetes, Docker).
- Deep understanding of MLOps tools and practices, including model versioning, monitoring, and automated testing.
- Excellent leadership, communication, and stakeholder‑management abilities in a remote‑first environment.
Skills
machine learningpythonmlopsawskubernetes