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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 multi-turn conversational systems using advanced AI/ML techniques, with a strong focus on mentoring and leading cross-functional teams to deliver high-quality solutions. Proficient in leveraging Python and Azure technologies to build and maintain AI models that enhance customer satisfaction.
Highest-signal resume keywords
Conversational AINatural Language Processing (NLP)Machine LearningPythonAzure Stack
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Multi-Turn Conversational SystemsAgentic FrameworksAI/ML Model DevelopmentGenerative AIStatistical AnalysisSoftware Development Best PracticesCross-Functional CollaborationBenchmarking AI ModelsAutonomous SystemsConversational Interfaces
Soft Skills
MentoringAccountabilityCollaborationCustomer EngagementLeadership
Tools & Technologies
MLflowAzure MLAzure Data FactoryDatabricks
Industry Keywords
AI SolutionsQuantitative DisciplineProduction EnvironmentsPeer-Reviewed PublicationsEnterprise Domains
Tech Stack
Tools & technologiesAzurePython
About the role
Key responsibilities & impact- Design and test multi-turn, state-aware conversational systems using LLM reasoning loops and multi-agent orchestration frameworks
- Adapt new frameworks and recent advances in generative and agentic AI
- Promote best practices in AI/ML and mentor junior team members
- Lead functional teams and initiatives to accelerate adoption of Conversational AI
- Leverage Python, MLflow, Azure stack, Azure ML, Azure Data Factory, and Databricks to deliver end-to-end AI solutions
- Build, benchmark, and maintain AI/ML models
- Engage with customers to evaluate needs and recommend solutions that increase customer satisfaction and business value
- Monitor technology trends in AI and apply knowledge to EcoVadis challenges
Requirements
What you’ll need- PhD or Master’s degree in quantitative discipline (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Computational Linguistics)
- 8+ years of overall experience in machine learning and Natural Language Processing (NLP), with at least 4+ years specializing in Conversational AI in production environments
- Advanced knowledge of agentic frameworks and proven track record building autonomous or semi-autonomous agentic systems at scale
- Experience in leading end-to-end AI initiatives in industry, from design to implementation to integration, and applying best software development practices
- Excellent mentoring skills and accountability for high quality and timely delivery of the initiatives they lead
- Experience of cross-functional collaboration in the development of AI-powered products
- Experience building conversational interfaces over complex enterprise domains is a plus
- Track record of peer-reviewed publications in top-tier NLP/AI venues is a plus
- Eligible to work and live in Spain
- CV submitted in English
Benefits
Comp & perks- Support with all the necessary office and IT equipment
- Flexible working hours
- Wellness allowance for mental and physical wellbeing
- Access to professional mental health support
- Referral bonus policy
- Learning and development
- Sustainability events and community involvement
- Peer recognition program
- Employee-led resource groups
- Remote work from abroad policy
- Meals and Transportation Vouchers (Coverflex card)
- Dental Benefits
- Life & Accident Insurance + Private Health Insurance
- Paid employee volunteer day
- Paid moving day (1/year)
- Time off: 1 Community Service Day + 1 Personal Day
- Summer Hours in July and August (36 hours per week)
- Hybrid Monthly Allowance for electricity and Internet