
Staff AI/ML Scientist
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in Poland.
• Create and evaluate multi-turn, state-aware conversational systems utilizing LLM reasoning loops (such as ReAct, Plan-and-Solve) and multi-agent orchestration frameworks (LangGraph, AutoGen, or bespoke state machines).
• Drive innovation by integrating new frameworks and leveraging recent advancements in generative and agentic AI.
• Advocate for best practices in AI / ML while mentoring junior team members.
• Spearhead functional teams and initiatives to enhance the adoption of Conversational AI.
• Utilize Python, MLflow, Azure stack (including Azure cloud, Azure ML, Azure Data Factory), and Databricks to execute comprehensive AI solutions for constructing, benchmarking, and sustaining AI / ML models.
• Maintain close communication with clients to assess their requirements and suggest solutions that enhance customer satisfaction and drive business value.
• Keep abreast of technological trends related to AI and leverage this knowledge to tackle the key challenges facing EcoVadis.
• PhD or Master’s degree in a quantitative field (e.g., Statistics/Applied Math, Artificial Intelligence, Computer Science, Computational Linguistics).
• Over 8 years of experience in machine learning and Natural Language Processing (NLP), including at least 4 years focused on Conversational AI within production environments.
• Extensive understanding of agentic frameworks and a proven history of developing autonomous or semi-autonomous agentic systems at scale.
• Experience leading comprehensive AI initiatives in the industry, from design through implementation to integration, while adhering to best software development practices.
• Strong mentoring abilities and a commitment to delivering high-quality and timely results on the initiatives they oversee.
• Experience collaborating across functions in the development of AI-powered products (e.g., with Engineers and Product Managers).
• Experience in creating conversational interfaces across complex enterprise domains (e.g., Supply Chain, Procurement, Financial Risk) is an advantage.
• A record of peer-reviewed publications in prestigious NLP/AI venues (such as ACL, EMNLP, NeurIPS, AAAI, KDD) is a bonus.
• Provision of all necessary office and IT equipment.
• Flexible working hours.
• Wellness allowance to promote mental and physical wellbeing.
• Access to professional mental health support.
• Referral bonus policy.
• Opportunities for learning and development.
• Participation in 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.
• Policy for remote work from abroad.
• Internet and electricity bill allowances.
• Additional day off for community service when volunteering.
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