
About Hyperscience
Automating data entry with AI-driven precision
Key Highlights
- Headquartered in World Trade Center, New York, NY
- $288.9 million raised in Series D funding
- Partners with enterprise IT firms like Accenture and Deloitte
- 201-500 employees, focusing on AI and machine learning
Hyperscience, headquartered in the World Trade Center, New York, NY, is a B2B company focused on intelligent automation through advanced AI and machine learning. With $288.9 million raised in Series D funding, Hyperscience partners with major IT consulting firms like Accenture and Deloitte to automa...
🎁 Benefits
Employees enjoy 30 days of paid leave annually, a 100% 401(k) match for up to 6% of salary, and comprehensive healthcare coverage. Additional perks in...
🌟 Culture
Hyperscience promotes a culture of innovation by leveraging AI to streamline manual processes, allowing employees to focus on higher-value tasks. The ...

Data Engineer • Senior
Hyperscience • Sofia - Hybrid
Skills & Technologies
Overview
Hyperscience is hiring a Senior Data Services Engineer to enhance their AI platform for document processing. You'll work closely with the Solutions Architecture team, focusing on data processing and quality assurance. This role is based in Sofia, Bulgaria, with remote flexibility.
Job Description
Who you are
You have a strong background in data processing and quality assurance, with experience in machine learning models. You understand the importance of data quality and have a keen eye for detail, ensuring that the data used in model iterations is accurate and reliable. Your collaborative spirit allows you to work effectively with cross-functional teams, particularly with Solutions Architecture, to ensure successful customer deployments. You are comfortable with the latest technologies and methodologies in data services, and you are eager to contribute to innovative solutions that enhance user experiences.
You possess excellent problem-solving skills and can navigate complex data challenges. Your experience includes working with large datasets and implementing data processing pipelines that support machine learning initiatives. You are proactive in identifying areas for improvement and are committed to continuous learning and development in the field of data services. You thrive in environments that encourage innovation and are excited about the potential of AI in transforming business processes.
What you'll do
In this role, you will be a key technical specialist in data processing within the Hyperscience platform. You will collaborate closely with the Solutions Architecture team, providing critical data expertise necessary for successful customer deployments. Your responsibilities will include ensuring data quality and integrity throughout the data lifecycle, from ingestion to processing and analysis. You will also be involved in the iteration of machine learning models, working to refine and enhance their performance based on real-world data.
You will participate in the design and implementation of data processing workflows that leverage the capabilities of the Hyperscience Hypercell platform. This will involve working with various data sources and formats, ensuring that the data is transformed into actionable insights that drive business decisions. You will also engage in quality assurance processes, validating the accuracy and reliability of data outputs. Your role will require you to stay updated on industry trends and advancements in data services and machine learning, allowing you to bring innovative ideas to the team.
What we offer
At Hyperscience, we offer a dynamic work environment that values innovation and collaboration. You will have the opportunity to work with leading organizations and contribute to projects that have a meaningful impact on customer experiences. We provide flexible working arrangements, allowing you to balance your professional and personal life effectively. Our team is committed to fostering a culture of continuous learning, and we encourage you to pursue professional development opportunities that align with your career goals. Join us in transforming the way organizations handle document processing and data management.
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