Your responsibilities, Script production-ready codes, Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads, Architect, automate and orchestrate Dev-Ops/ ML-Ops pipelines on cloud, Craft re-usable tools and frameworks to monitor, optimize and maintain ML solutions, Design and implement data engineering pipelines (ETL), Understand business problems and collaborate within the team to ensure scalability, business continuity and appropriate turnaround time, Conduct internal workshops and external meetups, participate in external conferences, and give talks, Continuously evolve your craft by keeping up to date with the new developments in AI/ML and related technologies and upskilling on these as needed, Collaborate with Data Scientists, Domain Experts and Product Owners to build and deploy the end-to-end AI Products What we offer, Hybrid working model (2 days/week in the office in Warsaw), Collaboration with senior engineers and cross-functional AI teams, Dynamic and innovation-driven engineering environment, Full-time job agreement based on b2b, Private medical care with dental care (covering 70% of costs), Multisport card (also for an accompanying person), Life insurance

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Machine Learning Engineer