1 of 1 Performance Tuning Jobs in Lancaster

LLMs integrated with document retrieval systems. Develop production-ready ML applications in cloud environments (AWS, SageMaker, Databricks, etc.). Leverage GPU-based computing resources and CUDA/Nvidia for performance optimization in training and inference. Collaborate with data engineers, software developers, and product teams to deliver AI/ML capabilities in production. Conduct rigorous model evaluations, A/B … testing, error analysis, and performance tuning. Implement responsible AI principles and ensure model fairness, interpretability, and compliance. Explore and integrate open-source LLM models and fine-tuning strategies for specialized domain applications. Drive innovation in prompt engineering and generation pipelines for AI-assisted systems. Skills and Experience You Will Need Required: 5+ years of hands-on experience in … and distributed training. Experience with AWS services (S3, Lambda, EC2, SageMaker, Bedrock, etc.). Desired: Experience deploying models as APIs/microservices in cloud-native environments. Familiarity with prompt tuning, embedding generation, vector search, and knowledge retrieval frameworks. Understanding of MLOps best practices, version control, CI/CD pipelines, and containerization (Docker, Kubernetes). Prior experience working with GenAI More ❯