Staff AI/ML Scientist, Conversational AI

• 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
• Use 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
• Stay in close contact 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
• Deliver solutions for EcoVadis’s product portfolio and enhance operational excellence

• 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
• Candidates must be eligible to work and live in Poland
• CV must be submitted in English

• 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
• Optional (fully covered or co-financed) health care and life insurance
• Multisport card
• Multikafeteria
• Lunch card
• Hybrid work organization
• Remote work from abroad policy
• Internet and Electricity bill allowance
• Additional day for community service when volunteering