Understanding of classical machine learning models such as regression, boosting, and other supervised learning approaches. Strong programming experience in Python, including data processing frameworks such as PySpark. Proficiency with SQL and/or KQL for querying and analyzing structured datasets. Hands-on experience with Azure data and AI services, including Synapse and related data engineering workflows. Familiarity with modern development environments such as Visual Studio Code, Azure Devops, …
Responsibilities
Experience with latest advancements in embedding models is preferred Bachelor's degree in computer science, Engineering, or a related technical field (or equivalent practical experience) 2+ years industry experience in Data Science , AI /ML /Analytics development role Ability to design agent-based AI workflows and orchestrate multi-step reasoning pipelines. Experience working with LLMs/GPT Models, transformer-based models, and generative AI techniques. Build and deploy machine learning and AI models, including experimentation, evaluation, and integration into production systems. Develop LLM- and agentic-based applications using frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen, including orchestration, memory integration, and observability. Build low-code and pro-code automation using services like Azure Logic Apps and Power Automate/Copilot Studio. Develop and maintain scalable data processing and automation workflows for analytics and AI solutions. Make informed trade-offs, considering customer impact, scalability, performance, and maintainability.
Original Posting
This role is sourced from Microsoft. Apply on Microsoft careers page