Applied AI Researcher-MLOps
Há 1 mês
We are seeking an exceptional Applied AI Researcher-MLOps to join our team at TalentX Digital. As a member of our Applied Research team, you will play a critical role in bridging the gap between data science and engineering, enabling our AI models to be deployed efficiently and reliably.
Key Responsibilities:- Design and Develop MLOps Pipelines: Design, develop, and maintain pipelines for data (crawling, cleaning, and processing) and models (deploying, monitoring, and updating).
- Model Deployment: Design, implement, and manage the deployment pipelines for AI/ML models, ensuring they meet performance and reliability standards in production.
- Infrastructure Management: Develop and maintain the infrastructure required for deploying and scaling AI/ML models, including cloud services, container orchestration (e.g., Kubernetes), and CI/CD pipelines.
- Monitoring and Optimization: Implement monitoring and logging systems to track the performance of models in production, identify bottlenecks, and optimize model performance and resource utilization.
- Team Collaboration: Collaborate with cross-functional teams, including Product Technology, Engineering, Quality Assurance, and Customer Success, to seamlessly incorporate innovation and maintain our product technology leadership.
- Education: BSc or MSc degree in Computer Science, Data Science/Machine Learning, or a related field.
- Professional Experience: 2+ years in MLOps, DevOps, or related roles deploying machine learning models in production environments.
- Cloud Platforms: AWS, Azure, GCP.
- Development: Python, PyTorch, Keras, Julia, Go, CI/CD pipelines, and version control.
- ML Platforms: MLflow, Kubeflow, TFX (TensorFlow Extended), serving platforms (gRPC, ONNX, JIT).
- Monitoring: Prometheus, Grafana, ELK Stack.
- Container/Orchestration: Docker, Kubernetes, Docker Swarm, RabbitMQ.
Benefits: Medical insurance, meal voucher, and life insurance.
We look forward to reviewing your application.
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