MLOps Engineer with LLM
4 tygodni temu
We are seeking a highly skilled Machine Learning Engineer to join our GenAI solutions development team. The team will focus on building modern applications utilizing Large Language Models (LLMs).
Key Responsibilities- Design and develop AI algorithms based on LLMs for specific use cases, such as text generation, chatbots, and data analysis.
- Integrate LLM and AI techniques into end-user applications, focusing on performance and user experience.
- Fine-tune LLM models to meet specific business needs.
- Construct end-to-end ML pipelines, including data processing, training, deployment, and monitoring.
- Collaborate with MLOps engineers to deploy models at scale.
- Continuously monitor and retrain models to ensure their accuracy and reliability.
- Minimum 3 years of experience in Machine Learning engineering, with experience in both classical ML methods and language model-based applications.
- Advanced knowledge of Python, CI/CD, AWS, AI, LLM, and MLOps.
- Familiarity with MLOps tools and practices, including version control, CI/CD, containerization, orchestration, and automated deployment.
- Experience deploying LLM and AI models on cloud platforms (AWS, Azure) and knowledge of services like Amazon SageMaker JumpStart and Azure OpenAI.
- Working knowledge of structured and unstructured data, data cleaning, feature engineering in databases, and data lakes.
- Experience in optimizing models for performance and solving complex engineering challenges.
- Bachelor's, Engineer's, Master's, or PhD degree in computer science or a related field.
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