Machine Learning Engineer

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🎮 Gaming

📡 Telecommunications

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.

📋 Description

• 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)

🎯 Requirements

• 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 WILL BE A PLUS • 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

• remote work • flexibility • opportunities to work with global teams