Senior AI Engineer

Ukraine·Lvivsenior

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Design, develop, and deploy AI and Machine Learning solutions. Build Python-based applications leveraging Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science techniques.

Technical Tools

Machine Learning EngineerData

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.

Join PwC's Advanced Technology Solutions team as an AI Engineer, where you will contribute to AI and data science solutions for leading global clients. This role is suitable for developers and engineers who want to build, deploy, and scale machine learning systems and AI-powered applications in a dynamic consulting environment.

We are looking for candidates who are strong in Python, confident working with data, and capable of turning complex business challenges into reliable, production-ready AI solutions while collaborating with clients across Western Europe and the USA.

Responsibilities

~1 min read

→Design, develop, and deploy AI and Machine Learning solutions.
→Build Python-based applications leveraging Generative AI, LLMs, RAG, NLP, Computer Vision, and Data Science techniques.
→Participate in the full project lifecycle, from requirements gathering through deployment and ongoing support.
→Collaborate with clients and internal teams to understand business challenges and translate them into scalable technical solutions.
→Work with structured and unstructured data to develop AI-driven applications.
→Actively leverage AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, and ChatPwC to enhance productivity, improve code quality, accelerate delivery, and solve complex problems responsibly.

3-4+ years of experience in AI, Machine Learning or Software Engineering.
Strong Python programming skills (e.g. pandas, numpy, scikit-learn).
Hands-on experience with Generative AI, LLMs, RAG, NLP, Machine Learning, or Computer Vision.
Experience working with SQL databases.
Understanding of the ML lifecycle, including model training, evaluation, deployment, and monitoring.
Strong analytical and problem-solving skills.
English B2+.

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