Senior AI/ML Engineer
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Job Description
Senior AI/ML Engineer building production-grade AI systems for EcoVadis, a business sustainability ratings provider. Designing MLOps pipelines and cloud solutions with Python, Azure, MLflow, and Databricks.
Responsibilities:
- Leverage data to solve business problems across various EcoVadis business units
- Design, develop, deploy, and maintain scalable AI/ML systems
- Design AI/ML pipelines using MLOps, LLMOps, and AgentOps best practices
- Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
- Run large-scale experiments and tests to ensure ML and data pipeline quality and efficiency
- Partner with scientists and engineers to make AI/ML models accessible to end-users and downstream processes
- Use Python, MLflow, Azure technologies, and Databricks to deliver end-to-end solutions
Requirements:
- Degree in Computer Science, Mathematics, Engineering, or a related technical discipline
- Industry experience designing and implementing production-grade AI/ML systems integrated into business applications
- Experience with model monitoring at scale
- Strong programming skills in Python and related ML libraries
- Strong experience with AI/ML lifecycle principles and MLOps, LLMOps, and AgentOps tooling
- Experience with MLflow, LangChain, VectorDBs, and evaluation frameworks
- Experience with cloud technology, preferably Azure and its ecosystem, including Azure Foundry, Azure Bicep, AzureML, and Azure Cloud Storage
- Experience with Databricks
- Understanding of software engineering best practices across the development lifecycle
- Knowledge of agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Experience with REST APIs for ML model serving
- Experience with Docker and container orchestration
- Experience with relational and non-relational databases
- Experience collaborating cross-functionally on AI/ML products and services
- Excellent verbal and written communication, critical thinking, and analytical skills
- Candidates must be eligible to work and live in Poland
- CV must be submitted in English
- Contribution to open-source libraries is a plus
Benefits:
- 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
- Hiring process adjustments, including provision of interview questions, upon request
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