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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in implementing Machine Learning models and AI solutions, particularly with Microsoft Copilot Studio and Azure AI Foundry. Proficient in designing and managing ML operations and pipelines while applying best practices in AI/MLOps frameworks.
Highest-signal resume keywords
Microsoft Copilot Studio ExperienceAzure AI Foundry ExpertiseMachine Learning Model ImplementationAI/MLOps FrameworksGenerative AI Solutions Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAI AutomationML OperationsLLM OperationsTechnical DocumentationPrompt DesignMultilingual HandlingCitations and Metadata RetrievalTroubleshooting AgentsIndustrialized Processing Pipelines
Soft Skills
Presentation SkillsCollaboration
Tools & Technologies
Power AutomateSharePointDataverseMicrosoft TeamsAzure AI SearchAzure OpenAIPower Platform ALM
Industry Keywords
Generative AnswersRAGKnowledge GroundingDEV/UAT/PROD DeploymentsBest Practices in ML Lifecycle
Tech Stack
Tools & technologiesAzure
About the role
Key responsibilities & impact- Work with Data Science teams to implement Machine Learning models into production
- Design and deliver GenAI solutions
- Implement practical and innovative LLM/ML/AI automation for scale and efficiency
- Design, deliver, and manage industrialized processing pipelines
- Define and implement best practices in ML model lifecycle and ML operations/LLM operations
- Implement AI/MLOps/LLMOps frameworks and support Data Science teams with best practices
- Gather and apply knowledge of modern techniques, tools, and frameworks in ML Architecture and Operations
- Gather technical requirements and estimate planned work
- Present solutions, concepts, and results to internal and external clients
- Create technical documentation
Requirements
What you’ll need- At least 6+ years of experience in Microsoft Copilot Studio / Azure AI Foundry, with hands-on experience building enterprise AI agents
- Strong knowledge of Topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding
- Comfortable integrating with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI/Foundry models
- Experience with citations, metadata-based retrieval, multilingual handling, prompt/instruction design, and troubleshooting agents
- Understanding of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments would be an advantage
Benefits
Comp & perks- Stable employment
- “Office as an option” model: choose to work remotely or in the office, depending on your location
- Flexibility regarding working hours and preferred form of contract
- Comprehensive online onboarding program with a “Buddy” from day 1
- Cooperation with top-tier engineers and experts
- Unlimited access to the Udemy learning platform from day 1
- Certificate training programs
- Upskilling support, capability development programs, Competency Centers, knowledge-sharing sessions, community webinars, and 110+ training opportunities yearly
- Internal Gallup Certified Strengths Coach
- Internal promotion opportunities
- Diverse, inclusive, and values-driven community
- Autonomy to choose the way you work
- Referral bonuses
- Activities supporting well-being and health
- Opportunities to donate to charities and support the environment
- Modern office equipment, purchased for you or available to borrow depending on location