وصف الوظيفة
Job Overview:
Intella is seeking an experienced MLOps Engineer to join our team. In this role, you will collaborate with data scientists and software engineers to streamline the development, deployment, and monitoring of machine learning models. Your work will ensure that our machine learning solutions are efficient, scalable, and maintainable.
Responsibilities:
- Design, integrate, and maintain machine learning pipelines.
- Collaborate with data scientists to deploy and monitor machine learning models in production.
- Implement processes for continuous integration and continuous delivery (CI/CD) for machine learning workflows.
- Automate model training and retraining processes to maintain model performance and accuracy.
- Monitor model performance and conduct root cause analysis for model drift and performance degradation.
- Work with cloud services and infrastructure for deploying machine learning models.
- Document processes and model deployment strategies for knowledge sharing.
- Stay updated with the latest trends and technologies in MLOps and machine learning.
إمتيازات الوظيفة
Join Intella and be part of a team that's shaping the future of AI and making a difference in the world. If you're ready to tackle exciting challenges and drive AI innovation, we want to hear from you
متطلبات الوظيفة
Requirements:
- Bachelor's degree in Computer Science, Data Science, or a related field.
- 3+ years of experience in machine learning operations (MLOps) or related fields.
- Proficiency in programming languages such as Python or Java.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes.
- Strong understanding of CI/CD practices and experience with tools such as Jenkins or GitLab CI/CD.
- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and services for deploying ML models.
- Excellent problem-solving skills and the ability to work independently or collaboratively.
- Strong communication skills to convey complex concepts to both technical and non-technical stakeholders.