Top Artificial Intelligence Jobs in Turkey

The Vice President of Product Management for Advanced Analytics and AI will drive product strategy, oversee P&L, and lead the development of innovative solutions in the EEMEA region, working in collaboration with global teams and stakeholders.

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

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

The Agentic AI Engineer will design and build distributed AI systems, develop cloud-native applications, and collaborate with cross-functional teams to deliver impactful solutions.

The role involves leading AI projects, improving AI models and tools, and designing automation solutions using Generative AI. Collaboration with various teams is essential.

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.

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.

Applied AI Engineers will define and deliver AI systems for clients, shape AI visions, build products, and advance the core product using real-world data.

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

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.

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

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

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.

Lead the design, development, and deployment of AI-driven products, manage a team of developers, and collaborate with cross-functional teams.

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.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

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.

As a Sales Development Representative, you will generate leads in the Web3 and AI domains, manage customer relationships, and collaborate with business units.