Job Description

Role Description

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.

• 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)

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

Requirements

• 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

• Strong analytical and problem-solving skills
• Ability to work independently and proactively
• Excellent communication and collaboration skills
• Passion for innovation and modern AI technologies
• Focus on code quality and continuous improvement

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