About this role
Job title: Machine Learning Engineer
About the Role Sigma Software is seeking a Machine Learning Engineer to help build next-generation AI-powered workplace assistants using modern Generative AI technologies, agentic frameworks, and ML models. This fully remote role offers flexibility to collaborate with global teams and opportunities to influence product direction in cutting-edge AI initiatives.
What You'll Do
- Develop and integrate ML, NLP, and Generative AI models
- Build and optimize agentic workflows using LangChain, LangGraph, or similar frameworks
- Develop LLM-powered solutions using modern Generative AI technologies
- Prototype internal tools and interfaces with Streamlit or Gradio
- Collaborate with engineering and product teams to deliver AI-driven features
- Manage development and runtime environments with Docker
- Maintain clean and scalable code using Git-based workflows
- Query and analyze structured data using SQL
- Contribute to model deployment and operations in a cloud environment (primarily Azure)
What We're Looking For
- 3+ years of commercial experience in software engineering or AI/ML development
- Strong proficiency in Python
- Hands-on experience with Generative AI applications and Large Language Models
- Experience with agentic AI frameworks such as LangChain or LangGraph
- Solid understanding of machine learning and NLP fundamentals
- Experience with ML frameworks including PyTorch or TensorFlow
- Familiarity with Streamlit, Gradio, or similar prototyping tools
- Practical experience with Git, Docker, and cloud platforms
- Good knowledge of SQL
- Understanding of software engineering best practices and estimation processes
- Upper-Intermediate level of English
- Confidence working in Linux terminal environments
Nice to Have
- Experience with additional agentic AI or LLM orchestration frameworks
- Experience building Retrieval-Augmented Generation solutions
- Experience with MLOps practices and model deployment