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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI and Machine Learning solutions, with a strong focus on system architecture, integration with enterprise systems, and adherence to data governance principles. Proficient in collaborating with stakeholders to translate business goals into actionable technical requirements.
Highest-signal resume keywords
Artificial Intelligence Solutions DesignMachine Learning System ArchitectureMicrosoft Azure PlatformsContainerization and OrchestrationData Governance Principles
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML Solutions ImplementationMLOpsData PipelinesModel DeploymentPythonPyTorchTensorFlowC4 Model Architecture DiagramsRAG SystemsMulti-Agent Systems
Soft Skills
Stakeholder CollaborationBusiness Requirement TranslationTechnical Documentation
Tools & Technologies
Azure Machine LearningCognitive ServicesAWS SageMakerGCP Vertex AIDockerKubernetesPower BIAPI IntegrationData LakeOpenAI SDK
Industry Keywords
Data SecurityAI EthicsEU AI ActEnterprise Systems IntegrationUser StoriesAcceptance Criteria
Tech Stack
Tools & technologiesAWSAzureDockerERPGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Lead discovery sessions with clients to define business goals and translate them into clear requirements.
- Contribute to AI-driven prototyping and solution shaping (LLM, RAG, multi-agent systems).
- Collaborate with stakeholders, PMs, and dev teams to turn raw ideas into a structured scope.
- Design high-level architecture diagrams (C4 model) and plan AI integrations with enterprise systems (ERP, CRM, DWH).
- Write, refine, and prioritize user stories and acceptance criteria in the backlog.
Requirements
What you’ll need- 5+ years of experience in designing and implementing Artificial Intelligence and Machine Learning solutions.
- Deep understanding of AI/ML system architecture, including MLOps, data pipelines, model deployment, and monitoring.
- Experience designing solutions on Microsoft Azure platforms (Azure Machine Learning, Cognitive Services, Azure Bot, Foundry, Web App, Azure Bing OpenAI, Copilot Studio) or AWS SageMaker / GCP Vertex AI.
- Knowledge of principles for building RAG systems, LLM-based solutions, and multi-agent systems.
- Experience integrating AI solutions with enterprise systems (ERP, CRM, DWH, Data Lake, API, Power BI, etc.).
- Skills working with containerization and orchestration (Docker, Kubernetes).
- Advanced knowledge of Python, experience with PyTorch, TensorFlow, LangChain, HuggingFace, OpenAI SDK.
- Experience preparing Solution Design, Architecture Diagrams (C4 model), and technical documentation.
- Understanding of Data Governance principles, data security, and AI ethics (including EU AI Act requirements).
- Ability to interact with business stakeholders and technical teams.
- Knowledge of the Ukrainian language.
Benefits
Comp & perks- flexible
- welcomed talented individuals seeking hourly-based freelance opportunities
