Oferty dla Monitoring praca Polska

29.04.2025 | Pełny etat | Wrocław | AUCTANE PolandAnd engineering advice to the team. Leading discussions on team architecture and design strategies. Mentoring less experienced developers. Collaborating with internal and external stakeholders to define the team’s action plans and manage competing priorities. Monitoring team engagement and well-being indicators

29.04.2025 | Pełny etat | Wysokie Mazowieckie | DevsData LLCPapers, and multi-modal training data for LLM fine-tuning Design efficient data pipelines for data ingestion, preprocessing, feature engineering, embedding generation, vector storage, retrieval, and model training/evaluation. Implement monitoring, logging, and debugging infrastructure for ML operations

29.04.2025 | Pełny etat | Gdynia | Matrix ITAnd maintain cloud-based infrastructure on Azure, AWS, and/or GCP. Work closely with development teams to integrate cloud services into software and system architectures. Ensure the reliability and security of cloud environments through effective monitoring, maintenance, and incident response. Assist

29.04.2025 | Pełny etat | Wysokie Mazowieckie | DevsData LLCThat are efficient, secure, and scalable ~ Proficiency in Spanish is a plus Design efficient data pipelines for data ingestion, preprocessing, feature engineering, embedding generation, vector storage, retrieval, and model training/evaluation. Implement monitoring, logging, and debugging infrastructure for ML

29.04.2025 | Pełny etat | Wysokie Mazowieckie | DevsData LLCThat are efficient, secure, and scalable ~ Proficiency in Spanish is a plus Design efficient data pipelines for data ingestion, preprocessing, feature engineering, embedding generation, vector storage, retrieval, and model training/evaluation. Implement monitoring, logging, and debugging infrastructure for ML

29.04.2025 | Pełny etat | Wysokie Mazowieckie | DevsData LLCThat are efficient, secure, and scalable ~ Proficiency in Spanish is a plus Design efficient data pipelines for data ingestion, preprocessing, feature engineering, embedding generation, vector storage, retrieval, and model training/evaluation. Implement monitoring, logging, and debugging infrastructure for ML