Role overview

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

Responsibilities

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
Collaborate with engineering and product teams to deliver AI-driven features

Key facts

Remote from: Ukraine
Full time
Senior (5-10 years)
Machine Learning Engineer
English

Hard skills

Python (Programming Language) Machine Learning Natural Language Processing (NLP) Generative Artificial Intelligence SQL (Programming Language) PyTorch (Machine Learning Library) TensorFlow StreamSets Microsoft Azure Agent-Based Model Mload Linux

Other skills

Analytical Skills
Problem Solving
Communication
Collaboration
Proactivity

About the company

Sigma Software Group

Sigma Software Group, an award-winning and trusted IT partner, has been serving customers for over 22 years, providing comprehensive IT solutions to various businesses, ranging from startups to established software product houses. As one of Europe's substantial IT consultancies, it brings together a dedicated workforce of over 2,100 professionals in 40 offices across 19 countries. With a diverse client base, including more than 300 enterprises, including Fortune 500 stalwarts, Sigma Software Group is a preferred choice for developing solutions that help businesses create cutting-edge products while meeting their unique needs. Sigma Software Group operates as a dynamic ecosystem of tech companies, offering 25 ready-to-implement innovative products and 40+ value-added services. Furthermore, Sigma Software Group is committed to fostering innovation through initiatives such as the Sigma Software Labs business incubator, Sigma Software University, the SID Venture Partners VC Fund, UA Tech Network, Techosystem, the European Business Association, and other collaborative efforts. Since 2015, Sigma Software Group has consistently earned recognition on the IAOP's prestigious World's Top 100 Outsourcing list. The company's accomplishments have also been acknowledged by prominent global media outlets such as Forbes, CNBC, The Times, and Reuters.

Company details

Company typeLarge

Company size1001 - 5000

Links

Website LinkedIn See all jobs

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Job description

Company Description

We are looking for a Machine Learning Engineer to join our team.

You will work with modern Machine Learning technologies, collaborate with cross-functional teams, and develop intelligent solutions that address real-world business challenges. This role offers the opportunity to work on diverse projects while continuously expanding your technical expertise.

At Sigma Software, we value innovation, engineering excellence, and continuous learning. Join us to build impactful solutions in a collaborative and supportive environment.

Job 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)

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

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

Additional Information

PERSONAL PROFILE

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