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Über
Job Description:
- As a Data Scientist, you will work within the Analytics team to develop models using Natural Language Processing along with many other techniques. - Developing ML models that allow us to be prescriptive as opposed to reactive. - Staying informed of next generation data and analytical tools. - Converting ad hoc analyses into scalable solutions and tools that can be used on demand as self-serve. - Helping reveal actionable insights for individuals within various business functions. - Cleaning, prepping and verifying the integrity of data for analyses. - Demonstrable knowledge of common coding languages (Python, SQL, R) with ability to learn new skills and apply skills in new environments. - Experience in Developing and Deploying GenAI Solutions: Building and fine-tuning generative AI/LLM solutions using AWS Bedrock and available foundation models like Claude, Llama, and Titan. - Building ML Workflows: Leveraging a wide range of AWS services (S3, Lambda, SageMaker, API Gateway, etc.) to build end-to-end machine learning workflows. - Implementing RAG Architectures: Designing and building Retrieval Augmented Generation (RAG) pipelines and developing custom embeddings and vector search solutions. - Prompt Engineering and Optimization: Creating effective prompt engineering strategies, evaluation frameworks, and model optimization techniques. - Collaboration: Working with cross-functional teams, including data engineers and software engineers, to integrate AI applications into existing systems and translate business problems into scalable AI solutions. - Monitoring and Governance: Ensuring data quality, security, and compliance, and setting up monitoring and governance for production-ready AI applications.
Sprachkenntnisse
- English
Hinweis für Nutzer
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