Machine Learning Engineer at Sigma Software

ABOUT THE PROJECT

We’re building an advanced AI assistant that helps teams work smarter. By combining semantic search, agentic AI, and state-of-the-art language models, the system enhances internal operations through intelligent, context-aware support and personalized interactions.

REQUIREMENTS

– Strong proficiency in Python
– Experience with agentic AI frameworks such as LangChain or LangGraph
– Solid understanding of machine learning and NLP fundamentals
– Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow)
– Familiarity with prototyping tools such as Streamlit or Gradio
– Knowledge of engineering best practices: Git, Docker, cloud basics, and task estimation
– Practical knowledge of SQL
– Upper-Intermediate level of English (both written and spoken)
– Would be a plus: Experience with other agentic or LLM orchestration tools, Experience with MLOps or model deployment, Comfortable working in Linux terminal environments

RESPONSIBILITIES

– Develop and integrate ML and NLP models to power intelligent assistant features
– Build agentic workflows using LangChain, LangGraph, or similar frameworks
– Prototype user interfaces and internal tools using Streamlit or Gradio
– Collaborate with the engineering and product teams to plan and deliver ML-driven features
– Work with Docker to manage development and runtime environments
– Use Git for version control and write clean, maintainable code
– Query structured data using SQL
– Contribute to model deployment and operations in a cloud environment (primarily Azure)

WHAT WE OFFER

– Diversity of Domains & Businesses
– Variety of technology
– Health & Legal support
– Active professional community
– Continuous education and growing
– Flexible schedule
– Remote work
– Outstanding offices (if you choose it)
– Sports and community activities

COMPENSATION & BENEFITS

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