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Top Machine Learning Jobs in Cologne
The Strategic Sales Representative will sell SailPoint's IGA Solution Suite to large organizations, focusing on navigating multinational accounts, especially at the C-level. The role involves engaging target customers, managing lengthy sales cycles, and utilizing the Challenger sales methodology to close high-value contracts and develop strong relationships with senior clients and partners.
The Strategic Sales Representative will sell SailPoint's IGA Solution Suite to large organizations, primarily focusing on enterprise security. The role requires navigating multinational accounts and C-level negotiations, utilizing the Challenger sales methodology to engage with 10-12 target customers. Key responsibilities include developing value propositions and closing contracts while maintaining relationships with senior decision-makers.
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 Strategic Partnerships Owner will develop and execute strategic partnership initiatives, identify high-impact collaboration opportunities, manage relationships with key partners, and oversee cross-functional teams to ensure effective partnerships that drive growth and value for Pacvue.
The Staff Machine Learning Engineer will lead the design and integration of Generative AI solutions in Firefox, oversee the building of infrastructure for LLMs, implement validation procedures, and optimize models for performance.
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.
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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 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.
The Senior ML Engineer will own the components of the Machine Learning pipeline, involving research in Deep Learning, processing multi-modal data, and training models. Responsibilities include developing and deploying models, enhancing accuracy, mentoring engineers, and managing projects from spec to deployment.
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.
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