Description

You will build and deploy automation solutions and machine learning workflows using Python and cloud infrastructure.

Responsibilities

• Develop and implement UiPath automation solutions or equivalent UI automation using Selenium or Puppeteer.
• Integrate large language models like GPT and BERT into automation processes using RAG-based architectures and fine-tuning.
• Build full-stack applications including front-end interfaces, back-end APIs, and microservices.
• Deploy and manage solutions on Azure, AWS, or GCP cloud platforms.
• Maintain code quality through git repositories and CI/CD deployment pipelines.

Required Skills

• 5+ years of professional experience in software development.
• Proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience with UiPath or other UI automation tools.
• Hands-on experience with LLM integration and RAG architectures.
• Full-stack development knowledge including Streamlit, HTML, CSS, and JavaScript.
• Back-end expertise in APIs, JSON, XML, exception handling, and microservices.
• Database management using SQL, NoSQL, Cosmos, or MongoDB.
• Experience with cloud-native platforms like Azure, AWS, or GCP.
• Proficiency with git and CI/CD pipelines.

Preferred Skills

• Familiarity with common Client model types and related data engineering practices.

Key Skills

Education

Any Graduate