Top Artificial Intelligence Jobs in Turkey

Manage industry analyst relations and provide strategic guidance for engagement, ensuring high-quality evaluations and capturing insights.

The Major Account Manager will develop and close sales opportunities with Enterprise customers in Turkey, enhance relationships, and execute account plans to drive business growth.

The Senior Consultant is responsible for managing market research projects, ensuring timely delivery, preparing reports, and maintaining client relationships.

The Key Account Sales Manager will engage with key clients, manage communication, and drive satisfaction by understanding customer needs and implementing business plans.

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 Senior Product Manager will lead product strategy, market intelligence, and monetization efforts in EdTech, focusing on AI integration. Responsibilities include mentoring teams and driving data-informed decision-making.

As an AI Product Engineer, you will design and develop AI-powered features for mobile apps, optimize AI performance, and prototype solutions quickly. You'll collaborate with teams to enhance user experience and explore emerging AI technologies.

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

The role involves designing, building, and deploying LLM-powered AI agents, creating intelligent workflows, and translating business needs into data-driven solutions.

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

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.

Develop and maintain full stack applications using Python, integrate AI technologies, build user interfaces, and collaborate with teams to deliver scalable solutions.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

Lead product analytics for subscription and web funnels: define KPIs, build/maintain dashboards and SQL data models, own event taxonomy and tracking, run funnel/cohort/retention analyses, mentor analysts, monitor anomalies, and partner with Product, Marketing, and Data teams to drive conversion, retention, and LTV.

The AI Content Creator transforms ideas into narratives using generative AI, collaborates with marketing, manages the creative process, and analyzes content performance.

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

Responsible for defining product vision, leading teams, managing the product lifecycle, and analyzing market needs to build innovative B2B SaaS solutions.

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.

The AI Creative Producer will manage performance marketing creative production using GenAI, collaborating with teams to enhance engagement in mobile games.

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.