Artificial Intelligence Engineer

Location: Fully Remote (Europe)

Salary: Competitive / Market Rate (€100K per year)

Company: g2

About the Role

I'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 Responsibilities

• Design, 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 & Experience

• Needs to have real life experience within taking projects from R&D stage through to production
• Strong 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 Qualifications

• Background 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.