Top Artificial Intelligence Jobs in Istanbul

The role involves recording everyday tasks from a point-of-view perspective to assist in training AI systems, ensuring compliance with recording guidelines and quality standards.

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

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

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 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.

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.

Evaluate and annotate content for quality and consistency according to guidelines. Work independently on a flexible schedule for a project lasting 2-3 weeks.

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.

Design and maintain backend services, build React interfaces, architect AI-powered pipelines, and ensure performance of async data processing. Collaborate with teams and set best practices.

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.

The AI Multimedia Designer will create AI-generated video ads and UGC-style visuals for paid channels, collaborating with strategists and buyers to enhance content performance and drive conversions.

The AI Applied Scientist Intern will tackle complex problems using deep learning, statistical analysis, and large datasets, collaborating with a team to implement AI solutions that generate economic impact.

The AI Video Ads Editor will create high-impact, AI-generated video ads for D2C brands, using AI tools and collaborating with teams to optimize content for conversions while monitoring performance metrics.

The Freelance AI Artist will produce high-quality images and videos using AI technologies, collaborating with marketing to align with brand identity and experimenting with new workflows.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

The Senior AI Engineer will lead AI strategy, develop Large Language Models and data pipelines, and integrate AI into products while fostering innovation.

Design, build, and deploy production-grade AI systems: develop and optimize LLM and diffusion features, engineer prompt systems and evaluation workflows, collaborate with backend/product teams, and own feature lifecycle from prototype to scalable maintenance.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

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.

Oversee the design, development, and deployment of machine learning models to enhance Sezzle's financial platform and provide scalable solutions for various applications.