Job description

Our client is seeking a Azure Data Engineer for a remote, contract opportunity. Contract Duration: 3 Months Required Skills & Experience We are looking for a Mid-level Azure Data Engineer with a minimum of 5 years of experience working in Data science projects, preferably GenAI projects. An ideal candidate will have following qualifications: • Hands on experience with Azure Data Factory, Azure Databricks and Fabric for data integration and real-time analytics. • Design, develop, and implement a high-performance Python coding with a focus on efficiency, scalability, and performance. • Create a robust and reusable code using Python that can independently generate creative content and directly contribute to the project's goals • Familiarity with data modeling, warehousing, and ETL development processes. • Expert level on using standard ML libraries such as Numpy and Pandas Advanced level on using ML frameworks PyTorch/TensorFlow on Azure cloud ecosystem. • Collaborate closely with data scientists, machine learning engineers, and other stakeholders to understand their requirements and translate these into data-driven solutions • Troubleshoot, debug, and resolve any issues that occur within the generative AI system development, ensuring that the models perform optimally. • Background on Unit, Integration, and System testing. • Conduct tests and experiments to enhance the performance of overall system and document the results for further improvements. • Conduct code reviews, assist other developers, and train team members, as required. • Ensure that developed system comply with industry standards and best practices, and that they meet the project's requirements. • Document all processes, specifications, and training procedures, and maintain stringent version control to ensure the high quality, accuracy, and replicability of generative models. • Work independently and a team player. • Be creative and dynamic in advancing newer ideas. • Azure certification would be a plus. What You Will Be Doing • Our AI & Digital Innovations teams bring the latest GenAI techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data. • Involved in specific engagements involving the building of new, bespoke advanced AI solutions for clients and internally. • Leveraging your knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets. • Responsible for developing and translating computer algorithms into prototype code and maintaining, organizing, and identifying trends in large data sets. • Proficiency in SQL database design and creating process documentation. • Familiarity with the computer coding languages python, Azure Synapse to oversee real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties. • Develop technical solutions to improve access to data and data usage. • Understand data needs and advise company on technological resources. • Collaborating closely with other data scientists, machine learning engineers, and stakeholders to understand the project's objectives and translate these into innovative, data-driven solutions.

Requirements