ML Engineer - San Jose
ML Engineer - San Jose
Aizen
Aizen is seeking a Machine Learning Engineer to enhance their end-to-end AI platform by building and optimizing AI pipelines. The role involves working on data ingestion, model training, deployment, and monitoring, contributing to a team focused on simplifying AI workflows for businesses of all sizes.
Qualification
- Experience in machine learning and AI pipeline development.
- Proficiency in programming languages such as Python.
- Familiarity with MLOps practices and tools.
- Experience with cloud, on-prem, and edge environments for model deployment.
- Knowledge of model monitoring and observability techniques.
Responsibility
- Design, build, and optimize end-to-end AI pipelines for data ingestion, training, deployment, and real-time inference.
- Implement training and fine-tuning workflows for ML models, optimizing for efficiency, scalability, and reproducibility.
- Develop and integrate scalable backend services and APIs for model inference and real-time AI applications.
- Build monitoring and logging tools to track model performance, drift, and latency, developing automated alerts and continuous retraining workflows.
- Build and deploy LLM-based applications, integrating APIs from providers like OpenAI, Anthropic, and Cohere.
