Top Artificial Intelligence Jobs in Berlin

As a Staff Machine Learning Engineer, you will design and build ML systems to enhance advertising experiences, collaborate with teams, mentor others, and innovate in areas like generative AI and NLP.

The Senior Machine Learning Engineer will develop and deploy ML-based software, collaborate with stakeholders, and enhance Smartly's MLOps platform, impacting advertising experiences.

Develop and maintain backend services, mentor team members, support data scientists in ML model deployment, and improve software architecture.

Develop and validate ML models for clinical research, collaborating with stakeholders to extract insights from unstructured medical data.

The intern will identify and acquire customers, conduct market research, localize materials, and manage an internationalization project to support market entry.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

The Senior Account Executive drives adoption of AI-based fraud and financial crime solutions, fostering relationships with financial services clients, achieving sales targets, and defining sales strategies in a quota-carrying role.

The Senior AI Delivery Lead will expand AI delivery capabilities, lead client engagements, ensure innovative AI solutions, and enhance team leadership and stakeholder management skills.

As an Account Executive, you will drive sales by managing the sales pipeline, negotiating deals, and collaborating with partners for implementation.

The Commercial Account Executive will drive sales by managing accounts, developing strategies, and building relationships in the DACH region, while achieving revenue goals.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

As an Operations Excellence Intern, you'll support initiatives to optimize workflows, enhance efficiency, and ensure operational readiness through data analysis and cross-team collaboration.

As a Senior Solutions Consultant at Feedzai, you will drive sales for the RiskOps platform by understanding and addressing clients' technical needs, delivering product demonstrations, and managing formal tenders and proposals.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

The role involves researching and developing GPU acceleration techniques for AI workloads, optimizing complex algorithms, and collaborating on hardware architecture designs.

The Director of Sales will develop, execute, and manage sales strategies, particularly in Europe, focusing on revenue growth and customer relationships in the pharmaceutical manufacturing sector.

As a Senior AI Engineer, you'll develop AI-driven product features using LLMs, build scalable backend systems, and collaborate on legal workflows. Focus on security and impact in a fast-paced environment.

The AI Engineer will develop and improve AI-driven features and systems, focusing on LLM integration, backend development, and security best practices while collaborating with teams to enhance legal workflows.

The Technical Product Manager will oversee networking services, manage product backlogs, coordinate cross-company implementations, and ensure performance and security in delivery.

Lead the vision, roadmap, and priorities for observability services in Nebius Cloud, managing backlogs and coordinating company-wide initiatives.

Design, implement, and maintain AI platform infrastructure. Provide technical leadership in cloud systems, collaborate with teams for model deployment, and drive incident management.

As a Senior SecOps Engineer, you'll design security systems, manage controls across cloud products, and lead incident response efforts while ensuring compliance with data protection regulations.

The role involves analyzing AI workloads for deep learning, benchmarking performance, implementing analysis tools, and collaborating across teams to optimize networking technologies.

The role involves researching and developing techniques to GPU accelerate AI workloads, optimizing algorithms, and collaborating on hardware architecture. Responsibilities include publishing findings and influencing next-generation technologies.

As a Software Engineer, AI, you'll train large-language models by comparing, ranking, and refining AI-coded snippets, while providing feedback for reinforcement learning.