Top Artificial Intelligence Jobs in Munich
The Engineering Manager in AI/ML will lead a team of engineers, focusing on product delivery, team development, and research in AI/ML technologies. Responsibilities include managing workflows, planning tasks, and ensuring timely delivery of solutions, while also engaging in architecture and scaling of production ML services.
The AI Solution Director leads cross-functional teams to apply C3 AI solutions to complex predictive challenges in industries like oil and gas. Responsibilities include driving solution delivery, maintaining client relationships, guiding data science efforts, and improving internal processes. This role combines technical project management, product development, and business development expertise.
This Ph.D. research involves analyzing and improving the fault tolerance and safety of AI accelerators through innovative Electronic Design Automation methods, focusing on designing hardware with advanced fault detection mechanisms for automotive applications.
The AI Frameworks Engineer is responsible for designing and developing AI software, optimizing frameworks and algorithms, and improving performance in machine learning and deep learning applications. This involves implementing distributed algorithms, transforming computational graph representations of neural networks, and working closely with researchers.
In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.
As a Machine Learning Engineer or Architect, you'll provide technical leadership to clients on GCP, design and implement AI/ML solutions, and troubleshoot technical issues. You will collaborate with diverse teams and educate clients through workshops on AI/ML and GCP capabilities.
Outlier seeks Math Experts to provide human feedback for training AI models. Responsibilities include assessing AI-generated content, crafting math-related questions, and evaluating responses. This freelance role offers flexible hours, with a focus on domain-specific expertise in mathematics.
As a Senior/Lead Data & MLOps Engineer, you will own the backend of the workflow mapping product, developing pipelines, and core components of ML systems. Responsibilities include writing algorithms, building data and ML training pipelines, collaborating with data scientists, optimizing model performance, and mentoring new team members.
In this role, you will enhance and scale the backend systems of Mimica's platform by designing and implementing a scalable architecture, developing backend services and APIs, and improving existing components' performance and reliability while also participating in architectural decisions and project management.
The Applied AI Engineer will facilitate customer adoption of Mistral AI products, managing relations and technical guidance during the pre-sale and post-implementation stages. Responsibilities include onboarding customers, deploying AI solutions, and collaborating with researchers and engineers to tackle complex projects involving LLM applications and product improvements based on customer feedback.
As Lead AI Researcher at Superside, you will conduct advanced deep learning research, innovate within image and video generation models, and engineer machine learning solutions for ad analysis, collaborating with cross-functional teams to enhance AI capabilities in the SuperAds platform.
The Senior Business Analyst will develop and maintain governance frameworks for Data Privacy and AI Compliance. This includes collaborating with product and engineering teams, supporting customer documentation, and managing third-party privacy topics. The role involves ensuring adherence to applicable laws and promoting a strong compliance culture within the organization.
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.
The Course Development Engineer will create and improve technical courses related to Data and AI, ensuring quality and alignment with learning objectives while collaborating with course review engineers.
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 Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.
The Sr. Course Development Engineer will create high-quality technical courses, mentor new hires, and collaborate with review engineers to enhance course content and effectiveness.
The role involves providing coding expertise to train AI models by crafting and evaluating computer science questions and AI-generated code. It is a freelance opportunity with flexible hours, focusing on improving AI's coding capabilities.
The Neuromorphic AI Software Framework Lead at Intel will integrate Loihi APIs into AI/DL frameworks like PyTorch and TensorFlow, develop tools for model training, enhance compiler and profiling infrastructure, and lead a collaborative team to drive the adoption of neuromorphic computing technology in commercial products.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
The Senior AI Engineer will develop and enhance AI features for the vacation rental platform, focusing on implementing RAG, optimizing LLMOps infrastructure, and writing production-level Python code. The role requires collaboration with teams to drive AI initiatives that improve the customer experience.
Outlier is seeking software engineers to contribute coding expertise for training AI models. Responsibilities include crafting questions, evaluating AI-generated code, and providing human feedback to improve AI performance. No prior AI experience is needed, and the role offers flexible remote work hours.
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 a Senior Software Engineer in the AI team at n8n, you'll design and build scalable backend systems while integrating AI applications. You'll engage with RESTful and GraphQL APIs and optimize relational databases. The role emphasizes ownership of tasks within a collaborative, remote-first environment.
The role involves rating and evaluating e-commerce data according to specific guidelines and conducting research to assess the usefulness of product filters and results. This position is ideal for entry-level candidates looking to gain experience in the AI and data annotation field, with flexible hours and work conducted remotely.
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