Senior AI/ML Engineer
Tech Stack / Keywords
Firma i stanowisko
EcoVadis is the leading provider of business sustainability ratings. Their solutions are backed by an international team of experts and powerful technology analyzing data to build sustainability scorecards that provide actionable insights into environmental, social, and ethical risks. EcoVadis operates in the Information Technology And Services industry.
Wymagania
- Degree in Computer Science, Mathematics, Engineering, or related technical discipline
- Industry experience designing, implementing production-grade AI/ML systems and integrating them into business applications with model monitoring at scale
- Strong programming skills in Python and related ML libraries
- Extensive experience with AI/ML lifecycle, principles, and MLOps/LLMOps/AgentOps tooling (e.g., MLflow, LangChain, VectorDBs, Evaluation frameworks)
- Experience with cloud technology, preferably Azure ecosystem (Azure Foundry, Azure Bicep, AzureML, Azure Cloud Storage) and Databricks
- Solid understanding of software engineering best practices 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
- Cross-functional collaboration experience with Engineers and Product Managers on AI/ML products
Nice to have:
- Contribution to open-source libraries
Obowiązki
- Leverage data to solve business problems across various EcoVadis business units
- Design, develop, deploy and maintain scalable AI/ML systems
- Design AI/ML pipelines applying best practices in MLOps, LLMOps, and AgentOps
- Build AI/ML engineering infrastructure and systems to orchestrate batch and real-time pipelines
- Run large-scale experiments and tests ensuring 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 Cloud, Azure ML, Azure Foundry, and Databricks to deliver end-to-end solutions
Benefity
- Support with all 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 opportunities
- 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 off for community service when volunteering
Inne informacje
Offer available only for candidates eligible to work and live in Poland. Location: Hybrid in Warsaw (4 days per month in the office) or full remote from Poland. EcoVadis is an equal opportunity employer and commits to equity, inclusion, and reducing bias in hiring processes. Candidates with disabilities, long-term health conditions, or neurodiversity are encouraged to apply. Applicants are advised to remove personal information from applications and to state legal eligibility to work in Poland.
EcoVadis
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