29 days ago
Remote, Poland or Warsaw, PolandSenior
Responsibilities
- 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 to orchestrate batch and real-time pipelines.
- 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.
- Deliver end-to-end AI/ML solutions using Python, MLflow, Azure, and Databricks.
- Integrate AI/ML systems into business applications and support model monitoring at scale.
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 programming skills in Python and related machine learning libraries.
- Strong understanding of the AI/ML lifecycle, principles, and MLOps, LLMOps, and AgentOps tooling.
- Experience with MLflow, LangChain, vector databases, and evaluation frameworks.
- 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 a plus.
Benefits
- Hybrid work in Warsaw with four office days per month or fully remote work from Poland.
- Flexible working hours and a remote work from abroad policy.
- Support with necessary office and IT equipment.
- Wellness allowance and access to professional mental health support.
- Optional fully covered or co-financed health care and life insurance.
- Multisport card, Multikafeteria, lunch card, and internet and electricity bill allowance.
- Referral bonus, learning and development opportunities, peer recognition, employee-led resource groups, and sustainability and community involvement programs.
- Additional day for community service when volunteering.
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