TL;DR

Machine Learning Engineer (AI): Engaging with users to understand workflows and improve processes while designing decision pipelines that integrate LLMs and ML components. Focus on prototyping, evaluating AI solutions, and driving internal innovation.

Location: Remote forever

Company

%hirify_global% is a team that values collaboration and personal growth.

What you will do

Engage directly with users to understand workflows and desired improvements.
Define measurable hypotheses and KPIs for AI solutions.
Design decision pipelines integrating LLMs and ML components.
Prototype and validate results on real datasets.
Prepare evaluation datasets and scoring rubrics.
Present outcomes to business leaders and propose rollout strategies.

Requirements

Strong communication and problem-solving skills.
Practical experience with LLMs & ML.
Proficiency in Python and SQL.
Fluency in Polish and English.
Curiosity and a habit of delivering meaningful outcomes.

Nice to have

Examples of delivered AI/ML solutions.
Experience in investigations or complex decision workflows.
Light engineering skills with FastAPI and Docker.

Culture & Benefits

Full autonomy and end-to-end ownership.
Impact-focused engineering.
Direct work with the CTO.
Long-term cooperation with no end date.