Following major global expansion and multiple acquisitions this popular Video Media Advertising SaaS business continues to evolve and change. Join a cutting-edge tech company at the forefront of artificial intelligence and machine learning innovation. If you're passionate about deploying and scaling ML models, this is the place for you!

The Company

• Cloud-based advertising media workflow, activation and distribution SaaS
• Over $250m in funding by top investors
• Impressive customer base among the advertising elite (fortune 100)
• 1000+ Global employees, 20+ Global offices

Key Responsibilities:

• Design, build, and maintain scalable ML pipelines and infrastructure.
• Develop CI/CD processes for ML models, ensuring rapid deployment and seamless integration.
• Implement monitoring and alerting for ML models in production to maintain model accuracy and performance.
• Collaborate closely with Data Scientists and Machine Learning Engineers to streamline model experimentation, deployment, and monitoring.
• Lead a team of MLOps engineers, providing mentorship and driving best practices.
• Evaluate and implement new MLOps tools and technologies to optimize processes.
• Ensure compliance with security and data privacy regulations in all deployments.

Qualifications:

• Proven experience in MLOps, DevOps, or similar fields (5+ years preferred).
• Strong understanding of machine learning model lifecycle management.
• Hands-on experience with cloud platforms (e.g., AWS, GCP, or Azure) and container orchestration (e.g., Kubernetes).
• Proficient in Python and familiar with ML frameworks (TensorFlow, PyTorch).
• Experience with CI/CD pipelines (Jenkins, GitLab CI/CD, etc.).
• Strong leadership and communication skills, with a track record of leading teams and projects.