Machine Learning Engineer

O projekcie Matrix Eastern Europe, the offshore division of Matrix IT, one of the leading global R&D services companies with more than 10,000 professionals, is looking for an AI Senior Software Engineer to join one of our teams -Stampli!

We’re hiring a Machine Learning Engineer to accelerate AI-driven innovation across our B2B SaaS product and the broader Stampli organization.

This is a hands-on, end-to-end development role where you’ll lead the implementation of ML/LLM-based solutions that boost operational efficiency and deliver exceptional product experiences. As an AI-First company, Stampli embed AI across every department and workflow-you’ll be at the heart of this transformation.

You will collaborate closely with product managers, engineers, and stakeholders to identify impactful AI opportunities, build state-of-the-art systems, and scale them across the organization.

Zakres obowiązków

• Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve
• real-world challenges across Stampli’s product and internal workflows.
• Own Full Lifecycles: Take projects from concept all the way to production, including
• model training, evaluation, integration, and monitoring.
• Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging
• Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
• Collaborate Cross-Functionally: Partner with product managers, engineers, and
• stakeholders to embed AI capabilities into user-facing features and backend services.
• Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in
• CI/CD, observability, and cloud infrastructure.
• Report with Impact: Share progress, challenges, and results clearly with technical and
• executive stakeholders.

Wymagania

• 6+ years of experience as a Backend Developer, Data Engineer, or ML Engineer
• Bachelor’s degree in Computer Science or a related STEM field
• Strong proficiency in Python and ML tooling
• Proven ability to build production-grade ML systems end-to-end
• Deep experience with LLMs and ML frameworks (e.g., LangChain, LangGraph, Hugging

Face, TensorFlow, PyTorch)

• Solid foundation in system design, architecture, and microservice patterns
• Excellent problem-solving skills and ownership mindset
• Strong collaboration and communication abilities