Director of AI

💰 Salary: $13,000-$15,000/month 🌎 Hybrid from Warsaw, Poland 🕦 Full-time position, long-term ☑️ Contract of Employment We are looking for a Director of AI to join our client, a technology company that builds AI-powered platforms and consulting solutions for enterprise operations, with a strong focus on the private capital sector. The company has over ten years of experience working with high-growth and PE-backed businesses, combining deep domain expertise with advanced technology to drive measurable results. In this role, the focus will be on leading the architecture, development, and production deployment of AI and machine learning systems, covering both large language model applications and traditional ML approaches. Close collaboration with data science, engineering, and product teams is expected to deliver scalable, high-performance AI-powered products. Requirements • Demonstrated track record of architecting and shipping AI/ML systems in production environments • Deep hands-on expertise with large language models (GPT, BERT, LLaMA, or equivalent) alongside classical ML techniques • Strong Python proficiency and working fluency with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and MLOps tooling • Solid understanding of data engineering fundamentals, including SQL and NoSQL databases • Ability to distill complex AI concepts into clear, non-technical communication for stakeholders • Experience providing technical mentorship and architectural guidance to engineering teams • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a closely related discipline Responsibilities • Architect and build end-to-end AI/ML systems, spanning LLM-based and traditional ML pipelines • Tune and optimize models for production-grade scalability, latency, and cost efficiency • Evaluate and integrate new AI technologies, frameworks, and tooling as the field evolves • Partner with data engineering to design and maintain robust data pipelines for training and inference • Align AI system design with business goals and broader product strategy • Establish and enforce best practices around AI governance, model monitoring, and lifecycle management • Act as the organization's primary AI advocate, communicating the strategic value of AI-driven solutions to leadership and cross-functional stakeholders • Build a culture of experimentation and continuous learning within AI/ML teams