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.

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

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

The role involves designing, building, and deploying LLM-powered AI agents, translating business challenges into data-driven solutions, and enhancing AI capabilities across regions.

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.

The Tech Lead will architect and implement AI systems, oversee model integration and ensure compliance with security standards while collaborating with teams on scalable solutions.

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 an AI/ML Specialist Solutions Architect, you will design scalable AI solutions, manage AI deployments, and collaborate with clients to enhance customer satisfaction.

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.

The AI Visibility Specialist will analyze brands' presences in AI platforms and develop strategies to enhance visibility, focusing on SEO and content optimization.

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.