6 days ago
Remote, Poland or Warsaw, PolandSenior
Responsibilities
- Develop, deploy, and maintain scalable AI/ML systems.
- Design AI/ML pipelines and infrastructure for batch and real-time orchestration.
- Apply MLOps, LLMOps, and AgentOps best practices and tooling.
- Run large-scale experiments and tests to ensure the quality and efficiency of ML and data pipelines.
- Partner with scientists and engineers to make AI/ML models accessible to end users and downstream processes.
- Use Python, MLflow, Azure, and Databricks to deliver end-to-end AI/ML solutions.
- Support model monitoring at scale and integrate AI/ML systems into business applications.
Requirements
- Degree in Computer Science, Mathematics, Engineering, or a related technical discipline.
- Industry experience designing and implementing production-grade AI/ML systems and integrating them into business applications.
- Strong Python programming skills and experience with related ML libraries.
- Strong understanding of the AI/ML lifecycle, MLOps, LLMOps, and AgentOps tooling.
- Experience with Azure and its ecosystem, including Azure Foundry, Azure Bicep, Azure ML, and Azure Cloud Storage.
- Experience with Databricks, REST APIs for ML model serving, Docker, container orchestration, and relational and non-relational databases.
- Understanding of software engineering practices across development, testing, source management, build processes, and operations.
- Experience collaborating cross-functionally on AI/ML products and services.
- Open-source library contributions are preferred but not required.
Benefits
- Hybrid work in Warsaw with two office days per week or full remote work from Poland.
- Flexible working hours, remote work from abroad policy, and internet and electricity bill allowance.
- Office and IT equipment support.
- Wellness allowance and access to professional mental health support.
- Optional fully covered or co-financed health care and life insurance, Multisport card, Multikafeteria, and lunch card.
- Referral bonus, learning and development opportunities, peer recognition, employee-led resource groups, sustainability events, and community involvement.
- Additional day for community service when volunteering.
Categories
About EcoVadis
EcoVadis builds a SaaS platform that rates companies’ environmental, social, and governance practices and provides tools for supplier risk and sustainability performance management. Procurement, compliance, and sustainability teams use its assessments, scorecards, and carbon modules to manage supply-chain due diligence and reporting. Founded in 2007 and headquartered in Paris, the privately held company also includes Ulula, enabling anonymous worker feedback to monitor labor risks across global supply chains.