11 months ago
Helsinki, FinlandMid Level

Responsibilities

  • Design and implement end-to-end AI solutions from prototyping through production deployment.
  • Build and optimize LLM-powered applications and agentic systems integrated with business processes and systems.
  • Collaborate with data scientists to turn models into robust, scalable products.
  • Apply MLOps practices for reproducibility, monitoring, and continuous improvement.
  • Design and maintain data pipelines to support model reliability and performance in production.
  • Work with Azure, AWS, GCP, and open-source AI frameworks.
  • Stay current with AI developments and apply them responsibly in client projects.
  • Guide stakeholders and communicate AI capabilities through consulting and collaboration.

Requirements

  • At least 2 years of experience in AI/ML engineering or data science.
  • Solid understanding of classification, regression, NLP, and generative AI.
  • Experience building production-grade LLM and agentic applications, including evaluation, monitoring, and scaling.
  • Knowledge of tokenization, RAG, CoT, reasoning models, memory, fine-tuning, tool use, and self-correction.
  • Hands-on experience with MLOps, CI/CD, containers, and cloud environments.
  • Ability to design and maintain data pipelines for production model reliability and performance.
  • Excellent communication and consulting skills.
  • Fluency in Finnish and English.

Benefits

  • Collaborative Data & AI community with mentoring, training, and peer-driven improvement.
  • Opportunities to lead and influence architecture, data platforms, and AI enablement.
  • Access to modern tools through partnerships with Microsoft, Databricks, Nvidia, and others.
  • Flexible hybrid work arrangement.
  • Well-being support, hobby clubs, and daycare support for sick children.
  • Share option program.
  • Mental well-being services, in-house coaching, and related support programs.
Siili Solutions

About Siili Solutions

201-500 employees
Contact me