Top Artificial Intelligence Jobs in Bursa

As a Senior Software Engineer, you will work full-stack using React and Node.js to develop AI-assisted collaborative content creation tools. Your responsibilities include innovating with large language models, mastering prompt engineering, collaborating with design teams, and developing robust systems for LLM responses.

Outlier seeks experienced software engineers to provide coding expertise for training AI models. Responsibilities include crafting questions related to computer science and evaluating AI-generated code. This remote, flexible freelance role aims to enhance generative AI models' coding abilities.

The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, collaborate with product and design teams, and integrate APIs using frameworks like FastAPI, Django, or Flask. The role requires mentoring junior engineers and keeping up with AI trends to enhance product functionality.

This role involves providing coding expertise to train generative AI models and includes evaluating AI-generated code, crafting questions, and providing detailed feedback to improve AI training processes.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.

The Sr. Course Development Engineer will create high-quality technical courses, mentor new hires, and collaborate with review engineers to enhance course content and effectiveness.

The Senior AI/ML Research Engineer will conduct cutting-edge machine learning research focusing on NLP, sentiment analysis, and personalized solutions. Responsibilities include collaborating with teams to implement technology, designing experiments, and producing technical documentation. The role requires staying updated with research trends and applying innovative solutions to real-world products.