Machine Learning Engineer (Contract)

Middle Middle/Senior Senior On-site
Europe
Engineering, Machine Learning, Software Development, Python

Необхідні навички

Python / strong
Machine Learning / strong
SQL / good

We are seeking a Machine Learning Engineer for an exciting freelance engagement with Sigma Software. This role offers the opportunity to work on cutting-edge applied AI solutions, including LLM-based systems and intelligent automation.

The position requires mandatory on-site work with our client in Sweden for 2 months, providing a unique chance to collaborate directly with stakeholders and accelerate innovation.

At Sigma Software, we deliver impactful technology solutions worldwide. By joining us, you’ll gain access to global projects, advanced tools, and a team of top-tier professionals.

Вимоги

  • 3+ years of experience in a similar position
  • Proficient 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 (e.g., PyTorch, TensorFlow)
  • Familiarity with prototyping tools such as Streamlit or Gradio
  • Experience with engineering best practices: Git, Docker, cloud basics, task estimation
  • Working knowledge of SQL
  • Upper-Intermediate level of English (both written and spoken)

Професійний профайл

  • Strong analytical and problem-solving skills
  • Ability to work independently and in a team
  • Adaptability to changing project requirements
  • Attention to detail
  • Proactive communication style

Обов'язки

  • 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
  • Use Git for version control and maintain clean, well-structured code
  • Query structured data using SQL
  • Contribute to model deployment and operations in a cloud environment (primarily Azure)

Чому ми

  • Різноманітність доменів та бізнесу
  • Великий вибір технологій
  • Медична та юридична підтримка
  • Круте та живе ком'юніті професiоналiв
  • Безперервна освіта та можливість росту
  • Гнучкий графік
  • Віддалена робота
  • Стильний та комфортний офіс (для твого комфорту вибору звiдки працювати)
  • Спортивні заходи та спільноти

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