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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Engineering, Machine Learning, and Generative AI applications, with a strong focus on RAG pipelines, performance measurement, and technical leadership. Proven ability to translate complex technical results into actionable business strategies and recommendations.
Highest-signal resume keywords
AI EngineeringGenerative AIRAG PipelinesPython ProgrammingData Analysis
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead comparative experiments with different LLMs, agents, and GenAI architectures applied to real-world business use cases
- Design, optimize, and evolve RAG pipelines, including chunking, embeddings, retrieval, and continuous evaluation
- Structure evaluation and benchmarking frameworks for GenAI applications
- Measure the performance, cost, and ROI of AI-based solutions
- Support decisions related to Prompt Engineering, RAG, Fine-Tuning, and multi-agent architectures
- Partner with Product, Engineering, Data, and Leadership teams
- Identify opportunities where AI can accelerate digital product strategies and increase value for the business unit
- Translate technical results into recommendations for roadmap, architecture, governance, and capability development
- Contribute to best practices, technical standards, and the responsible use of GenAI
- Build an applied AI vision for Marketing Services
- Influence GenAI architecture and strategy decisions
- Serve as a technical reference and accelerate AI adoption across Marketing Services
Requirements
What you’ll need- 3+ years of proven experience in coordination, technical leadership, or high-responsibility roles
- Experience in AI Engineering, Machine Learning, Data Science, MLOps, or related fields
- Demonstrated track record of working with genuine autonomy
- Excellent ability to understand, interpret, and influence the business unit’s strategy
- Experience in experimentation, technological innovation, and continuous improvement, with a focus on measurable impact
- Hands-on experience with GenAI and LLMs in real-world business contexts
- Experience with RAG, embeddings, retrieval, and/or agents
- Experience with initiatives that connected AI to digital products, operational efficiency, automation, or journey acceleration
- Advanced proficiency in Python
- Strong knowledge of SQL and manipulation of large datasets
- Solid foundation in statistics, data analysis, and experimentation
- Experience evaluating generative models, including traditional metrics and LLM-based approaches
- Familiarity with the OpenAI SDK, LangChain, CrewAI, or equivalent technologies
- Ability to document trade-offs and turn technical conclusions into actionable recommendations
- Preferred: experience with Fine-Tuning, Transfer Learning, Hugging Face, PyTorch, or TensorFlow
- Preferred: familiarity with AWS Bedrock Agents / AWS Agent Core
- Preferred: experience with n8n, Flowise, LangFlow, or equivalent technologies
- Preferred: experience with Prompt Optimization, including DSPy or similar approaches
Benefits
Comp & perks- Inclusive environment and people-first culture
- Commitment to employee well-being
- Opportunities to balance your career with personal commitments and interests
- Career development opportunities and professional experiences
- Great Place To Work™ recognition in 24 countries
- International Top Employers certification
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 LearningMLOpsStatistical AnalysisExperimentationFine-TuningTransfer LearningSQLEmbeddingsRetrievalPrompt Engineering
Soft Skills
Technical LeadershipAutonomyInfluencing StrategyCollaborationCommunication
Tools & Technologies
OpenAI SDKLangChainCrewAIAWS BedrockHugging FacePyTorchTensorFlowN8nFlowiseLangFlow
Industry Keywords
Generative ModelsDigital ProductsOperational EfficiencyAutomationBusiness Use Cases