Staff AI/ML Scientist

EcoVadis

Staff AI/ML Scientist at EcoVadis utilizing Conversational AI to drive innovation. Teaming up with scientists to enhance sustainability through AI technology in business practices.

Posted 7/29/2026full-timeRemote • Warsaw • 🇵🇱 PolandLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing multi-turn conversational systems using advanced AI frameworks, with a strong focus on mentoring and leading cross-functional teams to deliver high-quality AI solutions. Proficient in leveraging Python and Azure technologies to drive innovation in Conversational AI.

Highest-signal resume keywords

Conversational AINatural Language Processing (NLP)Machine LearningPythonAzure Stack

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Multi-Turn Conversational SystemsAgentic FrameworksAI/ML Best PracticesEnd-to-End AI InitiativesStatistical AnalysisSoftware Development PracticesAutonomous SystemsMentoringCross-Functional CollaborationConversational Interfaces

Soft Skills

Mentoring SkillsAccountabilityCollaboration

Tools & Technologies

MLflowAzure CloudAzure MLAzure Data FactoryDatabricks

Certifications & Qualifications

PhD or Master’s Degree in Quantitative Discipline

Industry Keywords

Generative AIAgentic AIAI-Powered ProductsEnterprise DomainsPeer-Reviewed Publications

Tech Stack

Tools & technologies

AzureCloudPythonReact

About the role

Key responsibilities & impact

Design and test multi-turn, state-aware conversational systems using LLM reasoning loops (e.g., ReAct, Plan-and-Solve) and multi-agent orchestration frameworks (LangGraph, AutoGen, or custom state machines)
Innovate by adapting 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 the adoption of Conversational AI
Leverage Python, MLflow, Azure stack (e.g., Azure cloud, Azure ML, Azure Data Factory) and Databricks to deliver end-to-end AI solutions to build, benchmark, and maintain AI / ML models
Stay in close contact with customers to evaluate their needs and recommend solutions that increase customer satisfaction and drive business value
Stay on top of technology trends in the area of, but not limited to, AI and apply this knowledge to the key challenges ahead of EcoVadis

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 (e.g., Engineers, Product Managers)
Experience building conversational interfaces over complex enterprise domains (e.g., Supply Chain, Procurement, Financial Risk) is a plus
Track record of peer-reviewed publications in top-tier NLP/AI venues (ACL, EMNLP, NeurIPS, AAAI, KDD) is a plus

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
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