Offer summary
Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field, 7+ years experience in software engineering or DevOps, Leadership experience in guiding an engineering team, Strong knowledge of machine learning concepts, Proficiency in Python, Java, Scala, cloud platforms, Experience with Docker, Kubernetes, CI/CD pipelines, Familiarity with ML frameworks like TensorFlow, PyTorch, Problem-solving skills, analytical mindset, excellent communication.
Key responsabilities:
- Lead a team of engineers in driving MLOps innovation
- Design scalable infrastructure for ML model deployment
- Automate model deployment with consistent performance
- Implement monitoring systems for proactive issue detection
- Establish version control processes for easy tracking
- Optimize ML infrastructure for scalability and efficiency
- Ensure security compliance in ML systems
- Document and train on MLOps processes and best practices
- Collaborate cross-functionally to streamline ML lifecycle
- Stay updated on latest MLOps advancements and innovations