Key Responsibilities
- Design, develop, and deploy large language model (LLM) applications and pipelines
- Optimize model performance for production environments using LLMOps best practices
- Collaborate with cross-functional teams to integrate ML solutions into scalable systems
- Implement continuous integration and deployment for ML models
- Monitor model drift and performance metrics to ensure reliability
- Research and implement cutting-edge techniques in natural language processing
Requirements
- 5+ years of experience in machine learning or related fields
- Strong proficiency in Python and deep learning frameworks (PyTorch/TensorFlow)
- Hands-on experience with LLMOps tools and MLOps pipelines
- Expertise in natural language processing and large language models
- Familiarity with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes)