Job description

RIT Solutions, Inc. is seeking a seasoned Mid-level Azure/Gen AI Data Engineer to join our AI & Digital Innovations teams. Job Description: Overview We bring the latest GenAI techniques and industry dynamics expertise to help clients create value from data. Our teams are involved in specific engagements involving bespoke advanced AI solutions for clients and internally. Responsibilities • Leverage knowledge of algorithms, data structures, and performance optimization to process and interpret large data sets. • Develop and translate computer algorithms into prototype code, maintaining and organizing trends in large data sets. • Design and develop high-performance Python coding with a focus on efficiency, scalability, and performance. • Create robust and reusable code using Python that can independently generate creative content and directly contribute to project goals. • Familiarity with data modeling, warehousing, and ETL development processes. • Expert level experience using standard client libraries such as Numpy and Pandas. • Advanced level experience using client frameworks PyTorch/TensorFlow on Azure cloud ecosystem. • Collaborate closely with data scientists, machine learning engineers, and stakeholders to understand their requirements and translate these into data-driven solutions. • Troubleshoot, debug, and resolve issues within generative AI system development, ensuring models perform optimally. • Background in unit, integration, and system testing. • Conduct tests and experiments to enhance overall system performance, documenting results for further improvements. • Document all processes, specifications, and training procedures, maintaining stringent version control. Requirements • Minimum 5 years of experience working in data science projects, preferably GenAI projects. • Hands-on experience with Azure Data Factory, Azure Databricks, and Fabric for data integration and real-time analytics. • Azure certification would be a plus. • Strong understanding of industry standards and best practices. Benefits Fully remote work opportunity with estimated hours. USC, GC, or GC EAD only. Video interview process.

Requirements