Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (Python/AI): Developing applied AI solutions including LLM-based systems and intelligent automation with an accent on agentic workflows and NLP. Focus on building agentic pipelines using LangChain/LangGraph and prototyping internal tools with Streamlit or Gradio.

Location: Mandatory on-site work in Sweden for 2 months

Company

hirify.global delivers impactful technology solutions worldwide, providing access to global projects and a team of top-tier professionals.

What you will do

• Develop and integrate ML and NLP models for intelligent assistant features.
• Build agentic workflows using LangChain, LangGraph, or similar frameworks.
• Prototype user interfaces and internal tools using Streamlit or Gradio.
• Collaborate with engineering and product teams to plan and deliver ML-driven features.
• Manage development and runtime environments using Docker and maintain version control via Git.
• Query structured data using SQL and contribute to model deployment in Azure cloud.

Requirements

• 3+ years of experience in a similar position.
• Proficiency in Python, with experience in building data pipelines and interacting with APIs.
• Experience with agentic AI frameworks such as LangChain or LangGraph.
• Solid understanding of ML and NLP, especially transformer-based architectures (e.g., BERT, GPT).
• Hands-on experience with ML frameworks like PyTorch or TensorFlow.
• English: Upper-Intermediate level (B2) required.

Nice to have

• Familiarity with prototyping tools such as Streamlit or Gradio.
• Experience with engineering best practices: Git, Docker, cloud basics, and task estimation.

Culture & Benefits

• Diversity of domains, businesses, and technologies.
• Health and legal support.
• Active professional community and continuous education opportunities.
• Flexible schedule and remote work options.
• Access to outstanding offices.