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emagine Polska

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AI Engineer

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Description

B2B contract

rate 40-50 euro per hour + VAT

100% remote

Pharma domain

We are looking for an experienced AI Engineer to join the PRIME initiative, focused on monitoring brand performance and supporting data-driven decisions regarding resource allocation across brands and markets. The role will initially focus on solution scoping, requirements definition, and translating business needs into scalable AI solutions. In a later phase, the consultant will lead or support the implementation of approved solutions.

Main Responsibilities

  • Collaborate with business owners and data stakeholders to understand business objectives and define AI use cases.

  • Participate in workshops and requirements-gathering sessions.

  • Translate business requirements into AI/ML solution designs and technical specifications.

  • Define architecture and implementation approaches for AI-enabled products.

  • Design and develop AI-powered applications and services.

  • Build scalable pipelines for model deployment and monitoring.

  • Integrate machine learning solutions into existing data platforms and business processes.

  • Ensure MLOps best practices, model governance, and operational excellence.

  • Support solution implementation and production deployment during subsequent project phases.

Key Requirements

  • 5+ years of experience in AI/ML engineering or software engineering with AI focus.

  • Strong programming skills in Python.

  • Hands-on experience with machine learning and generative AI technologies.

  • Experience with cloud platforms (Azure preferred).

  • Experience designing production-grade AI solutions.

  • Ability to translate business requirements into technical deliverables.

  • Strong stakeholder management and communication skills.

  • Fluent English.

Nice to Have

  • Experience in FMCG, pharmaceutical, retail, or marketing analytics environments.

  • Knowledge of LLMs, Retrieval-Augmented Generation (RAG), agentic AI, and prompt engineering.

  • Experience with Databricks, Azure ML, MLflow, or similar platforms.

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