Senior Data Science Engineer
3 weeks ago
About the Role:
As a Senior Data Science Engineer at ZoomInfo, you will lead the deployment of advanced machine learning models into production environments, ensuring their robustness and scalability. You will design and optimize data pipelines for efficient and seamless model deployment, leveraging best practices in MLOps.
Responsibilities:
- Model Deployment Leadership: Lead the deployment of advanced machine learning models into production environments.
- Efficient Data Pipelines: Design and optimize data pipelines for model deployment.
- Cross-functional Collaboration: Collaborate with cross-functional teams to understand deployment requirements.
- MLOps Best Practices: Adopt cutting-edge MLOps methodologies and best practices to streamline deployment processes.
- Version Control and Model Tracking: Implement effective version control and model tracking.
- Performance Monitoring: Monitor deployed models for performance and make necessary improvements.
- Compliance and Security: Ensure compliance with data privacy and security regulations.
- Issue Resolution: Provide technical leadership in troubleshooting and resolving production deployment issues.
- Documentation and Guidelines: Document deployment processes and create guidelines for team members.
Requirements:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- At least 8 years of experience in deploying machine learning models into production with expertise in MLOps tools and methodologies.
- Strong programming skills in Python and relevant MLOps libraries/frameworks.
- Familiarity with tools like Docker, Kubernetes, TensorFlow Serving, or similar.
- Understanding of data engineering and pipeline optimization.
- Excellent teamwork and communication skills.
- Strong analytical and problem-solving abilities.
- Commitment to staying updated with MLOps trends.
What We Offer:
- Opportunity to work with cutting-edge technologies in MLOps.
- Collaborative and dynamic work environment.
- Opportunities for professional growth and development.
How to Apply:
Please submit your resume and a cover letter outlining your experience and qualifications for this role.
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