Top Senior Level Data Engineer Jobs

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.

As a Database Engineer, you will design, implement, and maintain database solutions for business operations and analytics. Collaborate with IT professionals, create and modify database objects, develop data pipelines, and optimize database performance while ensuring data confidentiality and maintaining documentation.

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 VP of Data Consulting at The Tie leads a team focused on delivering insights for clients in the blockchain sector. Responsibilities include managing client relationships, overseeing project execution, mentoring team members, and leveraging data analytics to enhance decision-making. This role requires strong leadership, client-facing skills, and technical expertise in data science and engineering.

The Senior Data Engineer develops and manages data pipelines, ELT processes, and data storage solutions to ensure data quality and availability. They collaborate with teams to leverage data effectively for business outcomes and contribute to architectural and design decisions, mentoring junior team members while working on complex systems independently.

Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.

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.