Senior AI/ML Engineer

Stack

Responsibilities

• ▹Leverage data to solve business problems of various business units at EcoVadis
• ▹Design, develop, deploy and maintain scalable AI/ML systems
• ▹Design AI/ML pipelines by applying best practices in MLOps / LLMOps / AgentOps
• ▹Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
• ▹Run large-scale experiments and tests to ensure 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
• ▹Leverage Python, MLflow, Azure stack (e.g. Azure cloud, Azure ML, Azure Foundry) and Databricks to deliver end-to-end solutions

Requirements

• ▹Degree in Computer Science, Mathematics, Engineering or a related technical discipline
• ▹Industry experience in driving, designing and implementing production-grade AI/ML systems, integrating them into business applications, and model monitoring at scale
• ▹Strong programming skills in Python and related ML libraries
• ▹Strong experience of AI/ML lifecycle, principles and MLOps / LLMOps / AgentOps tooling (e.g. MLflow, LangChain, VectorDBs, evaluation frameworks)
• ▹Experience in cloud technology, preferably Azure and its ecosystem (e.g. Azure Foundry, Azure Bicep, AzureML, Azure Cloud Storage) and Databricks
• ▹Solid understanding of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing and operations
• ▹Experience with REST API for ML model serving
• ▹Experience with Docker and container orchestration
• ▹Experience with relational and non-relational databases
• ▹Experience in cross-functional collaboration in the development of AI/ML products and services (Engineers, Product Managers)
• ▹Eligible to work and live in Poland

Nice to have

• ▹Contribution to open-source libraries

Soft skills

What we offer

• ▹Support with 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 in Warsaw (4 days per month in the office) or full remote from Poland
• ▹Remote work from abroad policy
• ▹Internet and electricity bill allowance
• ▹Additional day for community service when volunteering

About the company

EcoVadis is the leading provider of business sustainability ratings. Backed by an international team of experts and powerful technology, it builds sustainability scorecards that give companies insight into their environmental, social and ethical risks.