Requirements

Your responsibilities

• creating, developing, and deploying AI/ML-based applications using Azure services
• developing and optimizing Large Language Model (LLM) based solutions tailored to real-world business cases
• building and maintaining APIs and microservices to efficiently serve AI/ML-based solutions to customers
• streamlining model operationalization and developing model inference backend
• ensuring all AI solutions adhere to security, development and governance standards
• writing and maintaining unit tests, ensuring robust test coverage, and enforcing best coding practices (clean code, maintainability, and performance optimization)
• creating clear, concise technical documentation for developed components
• working in Agile/Scrum teams to deliver high-quality applications on schedule
• working closely with Data Scientists and AI Engineers to integrate AI/L into business solutions

Our requirements

• fluency in English
• strong command of Python for AI/ML development
• hands-on experience with Azure AI/ML services, including Azure OpenAI, Azure Machine Learning, and Cognitive Services
• understanding of Generative AI, LLMs, ML, and (optionally) Natural Language Processing (NLP) technologies
• proven experience in developing and maintaining RESTful APIs and microservices
• solid understanding of CI/CD pipelines and DevOps best practices within the Azure environment
• familiarity with Docker, Kubernetes, and Azure Kubernetes Service (AKS) for deploying AI models
• ability to thrive in an Agile environment and work effectively with multidisciplinary teams

Optional

• experience in deploying Generative AI, LLM and ML
• experience working with vector databases
• knowledge of prompt engineering and strategies for LLM orchestration
• proficiency in Python code development in compliance with coding practises and industry standards
• practical experience with AI security measures and model governance