Why This Job is Featured on The SaaS Jobs
This Staff AI/ML Scientist role stands out in SaaS because it sits at the intersection of product experience and platform capability, applying conversational and agentic AI to enterprise workflows where data complexity is a core constraint. EcoVadis operates a software-led ratings and analytics product, so advances in multi-step, state-aware assistants can translate directly into how customers interrogate domain data and derive decisions from it.
From a SaaS career perspective, the position offers sustained exposure to production-grade LLM systems, evaluation, and lifecycle ownership rather than isolated experimentation. Work spanning orchestration frameworks, benchmarking, and cloud-based delivery builds durable skills that map to modern SaaS AI teams, especially where reliability, governance, and integration into existing product surfaces determine whether AI features ship and stick. The remit also signals influence across a portfolio, a useful vantage point for understanding how AI capabilities propagate through multiple products and stakeholders.
This role fits senior practitioners who prefer ambiguous problem spaces, can balance research-informed iteration with engineering discipline, and are comfortable shaping standards through mentoring and cross-functional leadership. It will particularly suit those motivated by customer-adjacent discovery and by turning conversational prototypes into repeatable product components.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Company 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
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).
