Machine Learning Engineer

• 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)
• 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

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