Staff AI/ML Scientist (Conversational AI)

EcoVadis

Warszawa

Hybrid

PLN 280,000 - 420,000

Full time

8 days ago
Application generator

Stand out for this role — generate a tailored resume and cover letter in about a minute.

Get past ATS filters

Benefits offered by this job

Wellness allowance
Hybrid work organization
Lunch card
Health insurance

Job summary

EcoVadis is seeking a Staff AI / Machine Learning Scientist specializing in Conversational AI to join our AI Center of Excellence in Warsaw. You will redefine user interactions with enterprise data, building goal-oriented conversational agents for procurement, supply chain resilience, and decarbonisation.

You will lead multi-turn systems and mentor a team of 20+ scientists and engineers. You will work with Python, MLflow, Azure stack, and Databricks to deliver end-to-end AI solutions, stay close

Qualifications

  • PhD or Master’s degree in quantitative discipline (Statistics/Applied Math/CS/Computational Linguistics).
  • 8+ years of ML/NLP experience, 4+ years in Conversational AI in production.
  • Advanced knowledge of agentic frameworks and scalable autonomous systems.
  • Experience leading end-to-end AI initiatives in industry with best software practices.
  • Strong mentoring and accountability for delivery quality.
  • Experience collaborating with Engineers and Product Managers in AI-powered products.
  • Publication track record in top NLP/AI venues is a plus.

Responsibilities

  • Design and test multi-turn, state-aware conversational systems using LLM reasoning loops and multi-agent orchestration.
  • Innovate by adopting new frameworks and advances in generative AI.
  • Mentor junior team members and lead AI initiatives.
  • Lead cross-functional teams to accelerate adoption of Conversational AI.
  • Deliver end-to-end AI solutions using Python, MLflow, Azure stack, and Databricks.
  • Engage with customers to understand needs and translate to solutions.
  • Keep abreast of AI trends and apply to EcoVadis challenges.

Skills

Machine Learning
Natural Language Processing
Conversational AI
Mentoring
Cross-functional collaboration
Leadership
Research publications

Education

PhD or Master’s in quantitative field

Tools

LangGraph
AutoGen
Azure ML
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.

Learn more about our team and culture on EcoVadis careers page.

Job Description

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
  • 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
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
  • 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

Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!

Don't fit all the criteria but still think you'd be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We're interested in hiring capable people, regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.

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).

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Staff AI/ML Scientist
Staff AI/ML Scientist

Ecovadis- • Warszawa

On-site
PLN 240,000 - 360,000
Wellness allowance
Health care options
Lunch card
+4
Staff AI/ML Scientist (Conversational AI)
Staff AI/ML Scientist (Conversational AI)

EcoVadis Inc • Warszawa

Hybrid
PLN 260,000 - 520,000
Health insurance
Wellness allowance
Learning and development
+2
Senior AI/ML Engineer
Senior AI/ML Engineer

EcoVadis Inc • Warszawa

Hybrid
PLN 250,000 - 420,000
Hybrid work in Warsaw
Wellness allowance
Learning and development
+5
Senior AI/ML Engineer
Senior AI/ML Engineer

EcoVadis • Warszawa

Hybrid
PLN 240,000 - 360,000
Hybrid work in Warsaw
Wellness allowance
L&D opportunities
+4
Senior AI/ML Engineer
Senior AI/ML Engineer

Ecovadis- • Warszawa

Hybrid
PLN 240,000 - 360,000
Wellness allowance
Mental health support
Learning and development
+8
Data Architect
Data Architect

EcoVadis Inc • Warszawa

Hybrid
PLN 150,000 - 200,000
Wellness allowance
Learning and development opportunities
Health care and life insurance
+2
Senior Knowledge Graph Engineer
Senior Knowledge Graph Engineer

EcoVadis Inc • Warszawa

Hybrid
PLN 180,000 - 260,000
Hybrid work
Wellness allowance
Lunch card
+7
Senior Knowledge Graph Engineer
Senior Knowledge Graph Engineer

EcoVadis • Warszawa

Hybrid
PLN 260,000 - 380,000
Hybrid work in Warsaw
Wellness allowance
Professional development
+3
Squad Lead (Engineering Manager)
Squad Lead (Engineering Manager)

EcoVadis Inc • Warszawa

On-site
PLN 300,000 - 520,000
Wellness allowance
Flexible working hours
Learning and development opportunities
+5
Squad Lead (Engineering Manager)
Squad Lead (Engineering Manager)

EcoVadis • Warszawa

On-site
PLN 300,000 - 500,000
Wellness allowance
Health care (optional)
Multisport card
+3