Top Machine Learning Jobs in Turkey
The Senior AI/ML Engineer will design and implement AI/ML models to analyze blockchain data, collaborate with teams to integrate these models into Nansen's platform, mentor junior engineers, and apply innovative solutions to drive decision-making for crypto investors.
The Engineering Manager in AI/ML will lead a team of engineers, focusing on product delivery, team development, and research in AI/ML technologies. Responsibilities include managing workflows, planning tasks, and ensuring timely delivery of solutions, while also engaging in architecture and scaling of production ML services.
As a Senior Data Scientist, you will create scalable machine learning algorithms for search optimization, focusing on real-time conversational systems. Responsibilities include developing data models, implementing evaluation strategies, building complex data pipelines, and conducting A/B tests to enhance Udemy’s search product.
As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.
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 Senior Data Scientist will design and implement analytical solutions to address client needs, primarily focusing on the credit life cycle and risk management. Responsibilities include developing models, troubleshooting issues, presenting proposals, and collaborating with sales to support business opportunities. The role demands strong consultancy skills and experience in banking and analytics.
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.
As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.
As a Staff Engineer, you will enhance web tools for utility companies to manage risks related to climate change, focusing on scalability and performance. You will solve technical challenges, lead cross-team initiatives, define coding standards, and mentor other engineers while driving impactful technology decisions for business needs.
The Senior Search & NLP ML Engineer will improve AI-driven search and recommendation systems within AppGallery, engaging with stakeholders to understand business needs, designing scalable ML services, deploying them in production, and evaluating model performance. Collaboration with multinational teams and contribution to academic outputs are also key responsibilities.
The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.
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 Data Engineer will design, implement, and maintain systems for efficient data processing, leveraging analytics tools and machine learning to extract insights from complex datasets and support data-driven decisions. Responsibilities include developing data pipelines, ensuring data quality, performing statistical analysis, and contributing to data infrastructure using cloud technologies.
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.
As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.
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 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.
As an NLP Research Engineer at Petal Maps, you will build high accuracy NLP systems using rule-based systems, classical machine learning, and deep learning models. The role involves exploratory data analysis, designing and implementing solutions, collaborating with production teams, and enhancing the product's capabilities. Candidates are expected to have strong programming skills and relevant NLP experience.
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 a Research Engineer at Huawei, you'll conduct machine learning research focused on NLP and develop enterprise software solutions on Huawei cloud. You'll design experiments, stay updated with research trends, and may produce research papers for conferences. Collaboration with development teams is key.
As an MLOps + Computer Vision Designer, you will develop ML models for computer vision tasks, design maintainable MLOps pipelines, and work with image data analysis tools. This includes tasks like object detection and image segmentation, leveraging your expertise in Python and advanced software design.
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 Research Engineer will develop and deploy deep learning models focusing on recommender systems, NLP, and computer vision. Responsibilities include applying machine learning concepts, preprocessing data, and optimizing performance in production. The role requires collaboration in research, possibly involving publishing papers and contributing to open-source.
The role involves conducting cutting-edge research in machine learning focusing on NLP and recommendation systems. The engineer will work collaboratively with teams to develop solutions, perform experiments, and produce technical documentation while keeping abreast of current trends.
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.
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