Junior AI Engineer - Python, GenAI and Machine Learning

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

• Natural Language Data Exploration: Develop dashboards powered by AI for intuitive business data analysis.
• Document Interaction: Design tools enabling seamless interaction with unstructured and structured text documents.
• Knowledge Assistant: Implement ERP transformation with AI-powered tools to resolve employee inquiries efficiently.
• Agricultural Monitoring: Utilize Computer Vision for analyzing satellite imagery on a large scale.
• Automated Reconciliation: Create systems to identify anomalous transactions in accounting ledgers.

• Project Participation: Participate in AI and data science projects from conception to deployment, contributing to solution design and supporting timely delivery of assigned tasks.
• Solution Development: Support the development of AI and ML solutions with a strong focus on Python-based implementation, working across areas such as Large Language Models (LLMs), RAG, classical machine learning and data analysis.
• Learning & Development: Continuously develop technical skills by following AI and data science trends, learning new approaches, and contributing to improvements of existing solutions and processes.

• Programming Skills (Key Requirement): Solid programming skills in Python (e.g. pandas, numpy, scikit-learn, plotly). Ability to write and understand code is essential. Experience with other programming languages is a plus.
• AI/ML Background: Hands‑on academic, project, or entry‑level experience with machine learning, data science, NLP, Computer Vision, or Generative AI (LLMs, RAG). The focus is on building or implementing solutions, not only using AI tools. Strong foundations in statistics and ML fundamentals are valued.
• Databases: Basic experience with SQL databases; familiarity with NoSQL databases is an advantage.
• Analytical Thinking: Strong analytical mindset with the ability to approach problems logically and creatively.
• Independence & Responsibility: Ability to work independently on assigned tasks and deliver results with guidance when needed.
• Language Skills: Fluent in English (B2 level or higher).

PwC