... (NLP), Retrieval-Augmented Generation (RAG), Data Lakes and Data Modernization, and cloud-based architectures. ... -augmented generation (RAG) systems, improving data retrieval accuracy and efficiency. Utilize ...
... focus on: Building and enhancing data pipelines to connect with ad ... for ad spend and refining data-driven decision-making processes. Improving ... emphasis on SQS and SNS). Data: RedShift, Lakehouse architecture. What We’re ...
... ensure the protection of sensitive data and systems. Monitor authentication control ... external auditors and regulators Strong data analytical skills to review different application feeds Ability to analyse data and produce detailed management MI ( ...
... points for: Experience with Big Data or large-scale Machine Learning ... . Familiarity with Nextflow. Skills in data visualization. Expertise in Drug Discovery, Cheminformatics, Biomedical Imaging, or Phenotypic Screening data. Experience working in a Scrum ...
... and medtech companies , IoT, and data-driven companies, among others. We ... practices are followed Focus on data security and efficiency, employing innovative ... problem-solving skills with a data-driven approach, experience with Computer ...
... : we protect our clients invaluable data. Your mission will be to ... measures , to ensure our clients data remains secure and protected. Be ...
... , optimize, and maintain big-scale data warehouses for best-known brands ... Europe. We have one Snowflake Data Superhero in Poland on board ( ... to learn new technologies (big data platforms and advanced analytics) English ...
... in Computer Science, Artificial Intelligence, Data Science, or a related field; ... , few-shot prompting). Understanding of data pipelines and tools for data preprocessing and feature engineering. Hands- ...
... and get better insight from data. Our long-term goal is ... with business goals, and use data insights for decision-making. Your ... Prebid.js, SSP integrations, and data analysis, with expertise in JavaScript, ...
... vector search technologies, to enhance data processing and document search capabilities. ... technologies to solve complex data retrieval and analysis challenges. Deep ... , chunking, and embedding unstructured data, optimizing search performance, and reducing ...