Machine Learning Engineer

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November 14

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Sigma Software Group

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Software Development • Gaming • Telecommunications

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

📋 Description

• 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)

🎯 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). • Experience with other agentic or LLM orchestration tools • Experience with MLOps or model deployment • Comfortable working in Linux terminal environments

🏖️ Benefits

• Flexible work arrangements