Staff AI/ML Scientist

Ecovadis-; Warszawa; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Wellness allowance

Health care options

Lunch card

Multisport card

Remote work from abroad policy

Professional mental health support

Learning and development

Job summary

EcoVadis is seeking a Staff AI / Machine Learning Scientist focused on Conversational AI to join our growing AI Center of Excellence in Warsaw. You will redefine user interactions with enterprise data by building goal-oriented, multi-step conversational agents across use cases from sustainable procurement to supply chain resilience and decarbonisation.

Your responsibilities include designing multi-turn systems, mentoring, and leading initiatives to accelerate adoption of Conversational AI while

Qualifications

• 8+ years in ML/NLP with at least 4+ years in Conversational AI in production.
• Hands-on with agentic frameworks and autonomous agent systems at scale.
• Led end-to-end AI initiatives from design to deployment with best practices.
• Excellent mentoring and accountability for delivery of initiatives.
• Collaborated cross-functionally with Engineers and Product Managers.
• Experience building conversational interfaces for complex enterprise domains.
• Peer-reviewed publications in NLP/AI venues are a plus.

Responsibilities

• Design and test multi-turn, state-aware conversational systems using LLM reasoning loops.
• Promote best practices in AI/ML and mentor junior team members.
• Lead functional teams and initiatives to accelerate adoption of Conversational AI.
• Stay in contact with customers to evaluate needs and drive business value.
• Deliver end-to-end AI solutions using Python, MLflow, Azure Stack, and Databricks.

Skills

Machine Learning

NLP

Conversational AI

Mentoring

Cross-functional collaboration

Tools

Python

MLflow

Azure

Databricks

Job description

Work smart, have fun and make an impact!

EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology. We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people. Feel valued for your contribution.

We are looking for a highly motivated Staff AI / Machine Learning Scientist with the focus on Conversational AI to join our growing AI Center of Excellence team, responsible for using AI to drive innovation across the organization and accelerate positive impact on our planet and society. In this role, you will redefine how users interact with complex enterprise domain data - transforming simple text interfaces into goal-oriented, multi-step conversational agents for a variety of use cases, from sustainable procurement to supply chain resilience to decarbonisation. You will be part of the team of over 20 scientists and engineers delivering solutions for our product portfolio and enhancing operational excellence.

Your global responsibilities will include (but will not be limited to):

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

Qualifications

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

Additional Information

Offer available only for candidates eligible to work and live in Poland

Location: Hybrid in Warsaw (4 days per month in the office) / Full remote from Poland

In return for your expertise, we offer:

• Support with all the necessary office and IT equipment
• Wellness allowance for mental and physical wellbeing
• Access to professional mental health support
• Learning and development
• Sustainability events and community involvement
• Employee-led resource groups
• Optional (fully covered or co-financed) health care and life insurance
• Multisport card
• Multikafeteria
• Lunch card
• Remote work from abroad policy
• Internet and Electricity bill allowance
• Additional day for community service when volunteering

Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major).