Leading Machine Learning Engineer
4 days ago
We are a global team of innovators and creatives who design, develop, and deploy cutting-edge ad experiences for the world's leading brands.
Our mission is to empower our employees to grow and thrive in their careers by fostering an inclusive culture that values diversity and promotes equal opportunities.
As a key member of our team, you will play a crucial role in designing, developing, deploying, and maintaining scalable machine learning models that directly contribute to our business objectives.
- Design and develop high-performing machine learning models that meet business objectives.
- Implement continuous integration and deployment pipelines for seamless model versioning, updates, and deployment.
- Ensure models are scalable, reliable, and optimized for production environments.
- Collaborate with cross-functional teams to deliver end-to-end ML solutions that drive business results.
- Work with stakeholders to integrate models into our advertising technology platform.
- Set up monitoring and alerting systems to track model health and identify data/model drift.
- Continuously optimize models for improved efficiency, accuracy, and performance.
- BS/MS in Computer Science, Statistics, or a related field preferred.
- In-depth understanding of machine learning principles and best practices.
- 3+ years of experience in building and deploying machine learning models in production environments.
- Experience building both offline and online training and inference pipelines for real-time systems.
- Strong experience with cloud-based tools for machine learning and data engineering.
- Familiarity with MLOps stack, including Databricks, Feature Stores, Kubernetes, Kubeflow, MLflow etc
- Expertise in large-scale data processing and distributed workflows.
- Proficient in SQL and Python; experience with Go is a plus.
- Hands-on experience in automating provisioning and management of cloud infrastructure.
- Highly organized, detail-oriented, and able to manage multiple tasks effectively.
- Excellent communication skills, able to convey complex technical concepts to both technical and non-technical audiences.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
- Recognition and rewards for outstanding performance.
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