Machine Learning Engineer (Contract)

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.

Responsibilities

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

Requirements3+ years of experience in a similar position

• Proficient in Python, with experience in building data pipelines and interacting with AP
• IsExperience with agentic AI frameworks such as LangChain or Lang
• Graph
• 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)

Personal Profile

• 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