AI/ML Data Engineer

Location: Prague, Czech Republic; hybrid working model.

Company

hirify.global develops pharmaceutical products and supports drug discovery and development through AI/ML, data science, and scientific research.

What you will do

• Build and maintain production pipelines, transformations, and automated workflows that convert scientific literature, patents, clinical trials, and other unstructured or semi-structured text into data products.
• Clarify requirements, identify gaps and assumptions, propose schemas, and participate in code reviews.
• Implement automated schema, completeness, constraint, integration, and regression checks to ensure data quality and reliability.
• Monitor pipelines, troubleshoot failures, apply dependency and platform upgrades, and improve cost efficiency.
• Support the deployment of ML pipelines into production and contribute to AI-assisted engineering workflows, including pipeline-failure triage.
• Collaborate with data scientists, bioinformaticians, engineers, and scientific subject matter experts on use cases spanning research, competitive intelligence, target identification, and safety monitoring.

Requirements

• 3+ years of professional experience in data engineering or a closely related area.
• 2+ years of experience building data pipelines with Python and SQL.
• Bachelor’s degree in Computer Science, Data Engineering, or a related technical field, or equivalent practical experience.
• Experience or knowledge in data engineering, data standards, data storage, software development, testing, machine learning, and generative AI.
• Experience with Git, GitHub, and GitHub Actions.

Culture & Benefits

• Hybrid working model with a flexible role pattern in an international, multidisciplinary environment.
• Professional development through specialized learning platforms, industry conferences, communities of practice, and mentoring by senior engineers and scientific experts.
• Opportunities to contribute to presentations, white papers, manuscripts, and open-source code releases.
• Competitive salary and incentive pay, pension and health insurance contributions, and an internal reward and referral system.
• 5 weeks of annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid volunteering hours annually, and 12 weeks of parental contribution.
• Cafeteria benefits, Multisport Card, company laptop and iPhone, parking, and workplace facilities including showers, refreshments, massage chairs, library, and music corner.