Machine Learning Engineer
Role overview
We are looking for a Machine Learning Engineer to join our team and help build next-generation AI-powered workplace assistants.
In this role, you will work with modern Generative AI technologies, agentic frameworks, and machine learning models to create smart, collaborative solutions. The position is fully remote, offering flexibility and opportunities to work with global teams.
We at Sigma Software value innovation, engineering excellence, and continuous learning. This is a great opportunity to work on cutting-edge AI initiatives, influence product direction, and grow together with experienced professionals in an open and supportive environment.
Responsibilities
- check_circle Develop and integrate ML, NLP, and Generative AI models
- check_circle Build and optimize agentic workflows using LangChain, LangGraph, or similar frameworks
- check_circle Develop LLM-powered solutions using modern Generative AI technologies
- check_circle Prototype internal tools and interfaces with Streamlit or Gradio
- check_circle Collaborate with engineering and product teams to deliver AI-driven features
- check_circle Manage development and runtime environments with Docker
- check_circle Maintain clean and scalable code using Git-based workflows
- check_circle Query and analyze structured data using SQL
- check_circle Contribute to model deployment and operations in a cloud environment (primarily Azure)
Basic qualifications
- 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
Preferred qualifications
- Experience with additional agentic AI or LLM orchestration frameworks
- Experience building Retrieval-Augmented Generation solutions
- Experience with MLOps practices and model deployment
- Confidence working in Linux terminal environments
Benefits
- check_circle Diversity of Domains & Businesses
- check_circle Variety of technology
- check_circle Health & Legal support
- check_circle Active professional community
- check_circle Continuous education and growing
- check_circle Flexible schedule
- check_circle Remote work
- check_circle Outstanding offices (if you choose it)
- check_circle Sports and community activities
Tags & Focus Areas
About Sigma Software Group
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