01 Zakres zadań
Project scope:
- Write production-ready code and use GPU or CPU resources according to ML workload capacity needs.
- Architect, automate and orchestrate cloud DevOps and MLOps pipelines.
- Create reusable tools and frameworks to monitor, optimize and maintain ML solutions.
- Design and implement ETL and data engineering pipelines.
- Translate business problems into scalable solutions supporting continuity and timely delivery.
- Collaborate with Data Scientists, Domain Experts and Product Owners to build and deploy end-to-end AI products.
- Run internal workshops, attend external conferences and deliver talks.
- Keep current with AI and ML developments and apply relevant practices.
Project details and benefits:
- Long-term IT Services project in Warsaw with a hybrid model: 2 days per week in the office; start ASAP.
- B2B full-time cooperation, private medical and dental care covering 70% of costs, Multisport and life insurance.
