About the Role
We are seeking a skilled Data Engineer for AI Model Deployment to design, develop, and implement machine learning pipelines for continuous deployment and integration of models.
Key Responsibilities
* Designing and implementing MLOps pipelines for efficient model deployment.
* Providing support and guidance to team members on MLOps best practices.
* Collaborating with data scientists to understand model requirements and optimize deployment processes.
* Continuously monitoring and maintaining models in production, ensuring optimal performance, accuracy, and reliability.
* Optimizing machine learning pipelines for scalability, efficiency, and cost-effectiveness.
* Troubleshooting and resolving issues related to model deployment and performance.
Requirements
* 5-8 years of experience in MLOps or a related field.
* Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
* Knowledge of CI/CD pipelines, automation tools, and version control systems like Git.
* Ensuring the security and reliability of data science environments.
* Experience with cloud platforms like AWS, Azure, or Google Cloud and their respective machine learning services.
* Knowledge of GPU usage and management, including configuring and optimizing GPU instances on cloud platforms; managing GPU drivers and libraries.
* Fluency in English.
What We Offer
* A stable professional career.
* Prospects for career advancement.
* Access to training and new certifications that will further elevate your skills.
* Work-life balance.
* Attractive compensation packages.
* Health insurance and free psychology consultations.
This is an excellent opportunity to join an international group and contribute to digital transformation projects.