Top Remote Jobs in Prague

Build and maintain cloud-based media data pipelines and user-facing data products. Design, deploy and govern BigQuery/DBT pipelines, APIs and dashboards, ensure data quality/security, manage vendors, and drive product-oriented delivery and adoption.

Support a global private banking transformation by designing investment advisory journeys and translating wealth management, investment, and regulatory requirements into platform requirements. Responsibilities include defining suitability and profiling rules, portfolio construction and discretionary portfolio management capabilities, and producing business requirements, use cases, business rules, user stories, and MVP backlogs. The role also supports implementation, user acceptance testing, legacy platform decommissioning, and regional rollouts.

Build and deliver reliable statistical and machine learning models, analyses, datasets, and scoring workflows for business and intelligence initiatives. Responsibilities include data preparation and validation, modeling, evaluation, documentation, monitoring, batch scoring, API integration, and stakeholder communication. The role requires independently owning defined deliverables, translating business questions into analytical solutions, and applying AI-assisted development while maintaining statistical rigor, operational discipline, and trustworthiness.

Conducts applied research on large language models, including literature review, experiment design, data curation, transformer optimization, distributed training, reinforcement learning, and model deployment. Collaborates with research staff to define initiatives, validate new approaches, scale successful prototypes, and communicate complex findings. The role focuses on advancing state-of-the-art LLM capabilities for voice AI products.

Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.

Designs and develops electronic test equipment, fixtures, and test stands for aerospace products. Responsibilities include troubleshooting hardware, supporting electrical and mechanical laboratory test campaigns, handling laboratory equipment, defining test methodologies, applying international standards, documenting procedures and results, and collaborating with global teams. The role requires electrical engineering expertise, electronics and mechanical design experience, technical documentation skills, and occasional international travel.

Build and ship AI-native product capabilities, including models, tools, retrieval, and evaluation. Lead technical delivery for product areas, design and review code, partner with product owners, support CI/CD and production readiness, instrument features, improve shared engineering patterns, and mentor AI Product Engineers. The role requires strong software engineering fundamentals, production systems experience, and hands-on AI/ML or generative AI integration.

Lead complex enterprise Pricefx implementations for customers, managing project plans, timelines, staffing, communications, risks, escalations, documentation, and steering committees. Facilitate business and IT discussions, explain pricing concepts, coordinate internal and external stakeholders, mentor project managers, and support Agile delivery. Use AI tools responsibly for planning, requirements synthesis, reporting, and risk identification while validating outputs and protecting confidentiality.

Own data science for customer-facing product features, including LTV prediction, experimentation, benchmarking, and forecasting. Proactively analyze data to identify customer problems and product opportunities, build and deploy production-grade models, and influence product roadmaps. Partner with Product, Engineering, and Analytics, communicate findings to varied audiences, iterate on shipped features, and lead new data-driven initiatives.

Design and build AI-powered search and retrieval systems, including hybrid keyword and vector search, RAG pipelines, document ingestion, indexing, embeddings, ranking, and LLM-based services. Develop scalable Python infrastructure, evaluate search relevance, and deploy reliable services in AWS. Collaborate with product, data, and cloud operations teams to improve AI search performance, latency, and customer outcomes.