Top Artificial Intelligence Jobs in Turkey

The role involves managing the customer lifecycle for an AI platform, focusing on sales, customer satisfaction, and long-term relationships with healthcare professionals.

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 Solution Architect will design and implement scalable AI/ML solutions, guide technical teams, and engage in presales discussions, ensuring compliance with AI principles.

Lead adoption of internal systems (ERP, CRM, Microsoft 365, AI co-pilots) by gathering requirements, translating into specifications, guiding implementations, managing UAT, and driving change management and training to ensure sustained user adoption.

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.

As an AI Consultant, you will lead analytics projects, support strategy execution, manage stakeholder relations, and contribute to ING's transformation efforts in the banking sector.

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.

Create high-quality AI-generated visuals, refine images, stay updated with trends, collaborate on storytelling, and analyze competitors.

The AI Partner will identify and deploy AI and ML applications, guide cross-functional teams, and ensure successful integration at the site level.

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.

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.

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.