Staff Conversational AI Scientist - Enterprise NLP Leader

EcoVadis Inc; Warszawa; Hybrid; PLN 260,000 - 520,000; Full time

Benefits offered by this job

Health insurance

Wellness allowance

Learning and development

Hybrid work model

Multisport card

Job summary

EcoVadis in Warsaw is seeking a Staff AI / Machine Learning Scientist focused on Conversational AI to join its AI Center of Excellence. You will redefine how users interact with enterprise data by building goal-oriented conversational agents for procurement, supply chain, and decarbonisation.

You will work with a team of 20+ scientists and engineers, use Python, Azure, Databricks, and MLflow, mentor others, and stay ahead of AI trends while collaborating with customers to deliver real business

Qualifications

• PhD or Master’s degree in quantitative field.
• 8+ years of ML experience, with at least 4+ years in Conversational AI in production.
• Advanced knowledge of agentic frameworks and scalable autonomous systems.
• Experience leading end-to-end AI initiatives and applying best software practices.

Responsibilities

• Design and test multi-turn, state-aware conversational systems using LLM reasoning loops and multi-agent orchestration frameworks.
• Innovate by adopting new frameworks and 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.
• Collaborate with customers to evaluate needs and deliver value.

Skills

AI leadership

Mentoring

NLP

Python

Cross-functional collaboration

Production ML

Education

PhD or Master’s degree in quantitative discipline

Tools

LangGraph

AutoGen

Databricks

Azure

Job description

EcoVadis in Warsaw is seeking a Staff AI / Machine Learning Scientist focused on Conversational AI to join its AI Center of Excellence. You will redefine how users interact with enterprise data by building goal-oriented conversational agents for procurement, supply chain, and decarbonisation.

You will work with a team of 20+ scientists and engineers, use Python, Azure, Databricks, and MLflow, mentor others, and stay ahead of AI trends while collaborating with customers to deliver real business