Top Artificial Intelligence Jobs in Izmir

As a Sales Engineer, you'll demonstrate Camunda's value, support product evaluations, conduct demos, and collaborate on sales strategies to convert prospects.

Evaluate AI-generated coding interactions, assess quality of engineering judgments, provide feedback, and define standards for AI coding agents. Comfortable making subjective judgments about engineering quality.

Lead and iterate AI-driven product workflows and automations across the Stories platform. Identify client and internal friction, prototype AI-powered solutions, validate with data and users, and work with engineers to ship repeatable tools. Investigate product behaviour using AI and internal tools, document outcomes, and engage clients to ensure solutions deliver real results.

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.

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.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

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.

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 role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

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.

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

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

As a Backend Engineer, you will develop and scale backend features for an AI-driven video production platform, ensuring code quality and collaboration with the team.