Top Artificial Intelligence Jobs in Turkey

The Senior AI Research Engineer will conduct research on advanced AI domains, build and deploy scalable ML services, monitor and enhance model performance, and collaborate on ML research directions. A strong background in programming, machine learning frameworks, and AI applications in NLP, computer vision, and recommender systems is required.

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.

The AI Research Engineer will work on improving search results for Petal Search, utilizing state-of-the-art Natural Language Processing, Machine Learning, and Deep Learning techniques. Responsibilities include implementing research ideas, transforming them into production, and publishing papers at leading conferences.

The AI Expert will contribute to developing new SaaS products by designing software architecture, implementing algorithms, integrating APIs, and prototyping applications. The role includes ensuring code reliability, documenting processes, and leading initiatives to enhance collaboration in the research team.

The Senior AI Research Engineer at Huawei will design and build scalable machine learning services, deploy them in production, monitor models for performance improvement, and collaborate with teams to formalize research directions. Responsibilities include preprocessing data for training ML models and providing academic outputs in the form of papers and patents.

The Artificial Intelligence Engineer will label and annotate data comprising images, videos, and texts while ensuring quality control in data annotation. They will manage the data annotation pipeline and work closely with Research Leaders to achieve set goals within deadlines.

The AI Research Engineer will research and develop scalable ML services related to state-of-the-art recommender systems, deploy models in production, monitor performance, and collaborate with teams to define ML research directions. The role requires expertise in programming, knowledge in machine learning, and practical experience with deep learning frameworks.

As an AI Senior Research Engineer, you will improve search results and enhance user satisfaction by developing scalable machine learning services, deploying them in production, and conducting research in areas like NLP and machine learning.

As an AI Solution Architect, you will design and implement AI solutions for cloud systems, support product growth, conduct customer training, and provide pre-sales and post-sales support. You will also analyze business models and prepare solution documents for AI projects.

The AI Research Engineer will conduct literature surveys, analyze various SOTA solutions, develop proof-of-concept AI models, collaborate with teams to define research directions, and deploy ML services in production. The role also includes producing academic outputs like papers and patents.

The AI Research Engineer will conduct research in AI domains including Computer Vision and NLP, design and build scalable machine learning services, deploy models in production, and monitor their performance while collaborating with other teams for data collection and evaluation.

The AI Application Technical Lead will lead AI project developments, mentor teams, communicate with clients, and support the deployment of ML/DL systems. Responsibilities include maintaining AI models, leading workshops, and developing scalable tools for handling ML/DL processes.

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.

Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.

The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.

You will lead the development of scalable AI services, adapt AI modules for production, and train and evaluate deep learning models in a dynamic team environment.