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Top Machine Learning Jobs in Czechia
As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.
The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.
The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.
The Senior Product Manager will lead Storyous' product strategy, focusing on market research, defining innovative solutions using Machine Learning and AI, and developing strategic partnerships. Responsibilities include working with various internal teams, defining business cases, managing product KPIs, and ensuring timely delivery of products in alignment with stakeholder needs.
The Senior Data Scientist will lead data science projects, design and implement machine learning models, collaborate with stakeholders to derive actionable strategies from data, and mentor junior team members to enhance team capabilities.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.
As a Senior ML Engineer, you will work on developing AI-powered product features and enhancing the tech stack in a cross-functional team. Your responsibilities include designing and maintaining machine learning systems, ensuring effective data flow, and introducing innovative concepts. You will collaborate with engineers and product managers to create impactful solutions.
The role involves developing and enhancing AI features, improving ML research and quality of existing solutions, and integrating diverse LLM providers. The engineer will lead technical projects, build high-quality services, and mentor team members, focusing on AI's impact on product management processes.
As a Senior ML Platform Engineer, you'll enhance the ML platform to support research teams, managing cloud infrastructure and tooling for data collection and model training. You will ensure seamless operations for researchers by maintaining and improving the infrastructure for GPU clusters in a cloud environment.
As a Machine Learning Engineer at Autodesk, you will develop ML-powered product features, collaborate on cutting-edge research projects, construct ML pipelines, process data, and analyze errors for solutions. You will work closely with researchers and engineers to document methods and results effectively.
The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
As a Machine Learning Engineer at Pipedrive, you will collaborate with data engineers and scientists to develop machine learning product features, optimize models for production, ensure deployment efficiency, monitor model performance, and leverage data-driven approaches to support business goals.
The ML Platform Engineer will build and manage the ML platform components and infrastructure, implement data systems, manage the Feature Store, contribute to processing frameworks, document systems efficiently, and provide technical support. Responsibilities include ensuring compliance and cost-effectiveness of cloud infrastructure and monitoring the performance of machine learning models.
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