Top Artificial Intelligence Jobs in Istanbul

As a Sales Engineer, you'll demonstrate Camunda's value, support product evaluations, conduct demos, and collaborate on sales strategies to convert prospects.

The Backend Engineer will build and scale backend services and APIs, improve system performance, and design scalable architectures in a collaborative environment using AI coding tools.

The role involves managing AI-driven outbound marketing campaigns in German, focusing on lead sourcing, segmentation, and demo bookings, with autonomy and minimal oversight.

Design, build, and own AI-powered platforms and full-stack systems from discovery through production. Embed AI into products and workflows, drive architecture and implementation, ensure reliability, security, and scalability, support incidents, and mentor team members.

Nebius seeks a Senior ML Engineer for AI R&D focusing on applied research in reinforcement learning and agent training, requiring deep expertise in machine learning and software engineering.

As a Senior Site Reliability Engineer, you will enhance the reliability and performance of our inference platform, leveraging Kubernetes and Terraform while ensuring smooth scalability of systems under load.

As a Golang Engineer, you will design, develop, and optimize distributed backend systems, focusing on performance, scalability, and P2P communication. You'll collaborate in an Agile environment and improve backend infrastructure while mentoring fellow engineers.

Lead the LLM team, overseeing model architecture, training, deployment, and moderation systems, with hands-on coding in Python/PyTorch. Solve challenges of AI scalability and user experience.

The Junior/Mid AI Video Artist will produce engaging video content for marketing, collaborating with teams on creation and execution while utilizing AI tools.

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

As a Backend Engineer, you will develop and scale backend features for an AI-driven video production platform, ensuring code quality and collaboration with the team.

Lead the design and deployment of scalable machine learning models, collaborate with product teams, enhance AI-driven features, and mentor team members.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

Create and edit short-form vertical videos for social media using AI tools, ensuring quality, character consistency, and appropriate syncing of audio elements.

As an AI Automation Engineer, you will design, implement, and optimize automation workflows using AI tools and APIs to improve efficiency and scalability for internal and client operations.

The AI Infrastructure Engineer will build and manage scalable model serving infrastructure for AI/ML applications, ensuring high efficiency and reliability in production.

Contribute to design and delivery of AI-powered platforms and full-stack systems. Build AI-driven features, intelligent automation, and agentic systems; integrate AI into products and workflows; participate in production support, code reviews, and cross-functional collaboration under senior guidance.

Create short-form vertical videos for TikTok, Instagram Reels, and YouTube Shorts, using AI tools and editing techniques to produce serial micro-dramas.

The AI Data Expert will evaluate and annotate AI-generated content, ensuring cultural relevance and quality through detailed feedback and analysis. Responsibilities include generating original content, performing quality checks, and adhering to evaluation guidelines.

Design and maintain backend systems, develop data processing pipelines, manage APIs, make architectural decisions, and integrate AI tools for a data-intensive enterprise platform.

The Ecosystem Growth Manager will drive the growth of AIVM through securing GPU providers, AI developers, and enterprise partnerships while ensuring seamless onboarding and integration processes.