Location: Fully Remote (Europe)Salary: Competitive / Market Rate (€100K per year)Company: g2About the RoleI'm looking for an experienced AI Engineer with a strong foundation in Python, machine learning, with text processing experience in business communication to help build and scale real-world AI solutions in the pharmaceutical space. This role requires more than just theoretical knowledge — we need professionals who have successfully delivered AI/ML projects into production and understand the full lifecycle, including considerations like data stability, legal constraints, and regulatory compliance.
Key ResponsibilitiesDesign, develop, and deploy NLP and ML models to solve complex business problems in the pharmaceutical domain. Collaborate cross-functionally with business analysts, product managers, and domain experts to translate requirements into technical solutions. Work with large-scale text datasets from clinical, regulatory, and operational sources. Ensure scalability, robustness, and compliance of deployed models. Contribute to architecture decisions and guide best practices for AI in production environments. Required Skills & ExperienceNeeds to have real life experience within taking projects from R&D stage through to productionStrong proficiency in Python, especially for machine learning and NLP.
Proven track record of delivering AI/ML projects to production. Deep understanding of text data processing, including unstructured data and domain-specific documents. Solid grasp of the ML model lifecycle, including data governance, versioning, validation, and post-deployment monitoring. Strong business communication skills – able to interface with cross-functional teams and act with a business analyst mindset. Fluent in English (spoken and written). Preferred QualificationsBackground or exposure to the pharmaceutical industry (R&D, clinical data, regulatory submissions, etc. ). Experience handling sensitive or regulated data (e. g. , patient records, compliance-critical datasets). Knowledge of pharma-specific challenges like stability data, trial protocols, safety submissions, etc.
Why Join Us?Be part of a full-service pharma ecosystem — from R&D to global logistics. Tackle real-world AI problems with measurable impact. Work remotely with a globally distributed, cross-functional team. Engage in projects that make a difference in healthcare, patient outcomes, and drug accessibility.
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