MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer.

Key Responsibilities

• Develop and optimize MLOps pipelines for scalable model development and deployment
• Deploy and fine-tune open-source LLM models for various business use cases
• Develop AI-based solutions for product category classification and dynamic price optimization

Required Qualifications

• Expertise in end-to-end ML pipelines using Azure ML, AWS SageMaker, and MLflow
• Experience in deploying open-source LLMs such as Llama, Mistral, and R1
• Proficiency in Python and ML frameworks like PyTorch and TensorFlow
• Familiarity with Docker, Kubernetes, and CI/CD processes for ML
• Experience in evaluating and optimizing ML/LLM models and solutions