Requirements

Expected technologies

Python

HuggingFace

LangChain

FastAPI

Azure

AWS

Optional technologies

UiPath

Blue Prism

Microsoft Power Platform

Power Automate

Power Apps

Power BI

Our requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related field.
• 5–6 years of experience delivering production-ready solutions in machine learning, automation, or related fields.
• Strong programming skills in Python and experience with ML frameworks (e.g., HuggingFace, LangChain).
• Practical experience with transformer-based language models (e.g., GPT, BERT) and generative AI tool. ABle to build APIs (FastAPI).
• Solid understanding of backend development, including APIs, microservices, and cloud platforms (e.g., Azure, AWS).
• Proven ability to work collaboratively with diverse, international teams and communicate technical concepts clearly.
• A proactive, growth mindset with a passion for continuous learning and innovation in intelligent automation.
• Experience in designing and implementing automation workflows using RPA tools (e.g., UiPath, Blue Prism and Microsoft Power Platform (Power Automate, Power Apps, Power BI) would be an asset.

Your responsibilities

• Design and develop intelligent automation solutions that integrate machine learning into RPA and Power platforms.
• Build and optimize backend systems for automation, natural language understanding, and AI-powered workflows.
• Implement and deploy machine learning models within end-to-end automation projects, ensuring scalability and reliability.
• Integrate conversational AI components, such as Copilot and other generative AI tools, to enhance user experience and business value.
• Collaborate with stakeholders and business units globally to gather requirements, deliver solutions, and support ongoing automation initiatives.
• Monitor and evaluate the performance of automation and AI systems, driving continuous improvement and innovation.
• Stay up to date with advancements in AI, RPA, Power Platform, and automation best practices, applying them to our projects.
• Contribute to robust, high-quality code and participate in code reviews with a focus on maintainability and performance.