Jobs
Lead Machine Learning Engineer at Media Management Advertising SaaS
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.
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