ML Engineer - India
ML Engineer - India
Aizen
Aizen is seeking a Machine Learning Engineer to enhance their end-to-end AI platform by developing and optimizing AI pipelines, model training, and deployment processes. The role offers opportunities for both entry-level and senior engineers to tackle complex ML challenges and contribute to the future of AI infrastructure.
Qualification
- Experience in building and optimizing AI pipelines and MLOps.
- Proficiency in machine learning frameworks and libraries such as TensorFlow or PyTorch.
- Strong programming skills in Python and experience with backend development.
- Familiarity with cloud services and deployment strategies for AI applications.
- Knowledge of model monitoring and observability best practices.
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, with automated alerts and retraining workflows.
- Build and deploy LLM-based applications, integrating APIs from providers like OpenAI, Anthropic, and Cohere.
