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Top Senior Level Data Engineer Jobs in Milwaukee, WI
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
The Senior Informaticist will focus on developing insights into physician performance analytics, utilizing advanced statistical analysis, SQL, and business analytics. Responsibilities include designing evaluation methods, analyzing complex data, creating reports and dashboards, and enhancing processes to improve efficiency and effectiveness of care. Strong communication and project management skills are essential for collaboration across various organizational areas.
As a Senior Data Engineer in Marketing Technology, you will design and maintain data pipelines, develop data models, and collaborate with cross-functional teams to drive marketing insights and improvements. Your work will involve ensuring data quality and building scalable data solutions for effective decision-making.
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The Senior Analytics Engineer will translate business needs into technical specifications, build analytics solutions, and develop complex data transformations within the Arine data lake while collaborating with various teams. The role requires creating data models and visualizations to present data in action-oriented formats.
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
The Oracle Application Database Administrator will support and maintain various Oracle databases and applications, ensuring they are documented, patched, secured, and operational, while also applying performance tuning techniques and participating in upgrades of Oracle EBS and databases in a large-scale environment.
The Senior Consultant will design, build, and test custom data warehouse and BI solutions for clients, translate business requirements into technical specifications, and develop data integration solutions. They will also lead product implementation and conduct training and workshops.
The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.
As a Staff Engineer in Data Science, you will leverage your extensive experience to implement machine learning solutions, mentor team members, and transform business requirements into technical designs. You will define architecture, develop solutions on cloud platforms, and ensure best practices in code quality and design while collaborating with clients and developers.
Senior Data Engineers are responsible for coding in Scala and C#, developing APIs and ETL pipelines, and optimizing processes for data-driven solutions in Azure. They ensure productivity and guide junior engineers while fostering a strong team culture. Proficiency in big data technologies and DevOps practices is essential.
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