About the role

Develop and integrate ML, NLP, and Generative AI models to create intelligent business solutions. Build agentic workflows and LLM-powered tools while collaborating with cross-functional teams for deployment in cloud environments.

What they look for

Python Generative AI Large Language Models LangChain LangGraph PyTorch TensorFlow Streamlit Gradio Git Docker Azure SQL NLP MLOps Linux

Requirements

Requires over 3 years of commercial experience in software engineering or AI/ML development with strong Python proficiency. Candidates must have hands-on experience with LLMs, agentic frameworks, and cloud platforms like Azure.

Full 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