Top Machine Learning Jobs in Turkey
As a Senior Staff Software Engineer at Udemy, you will design and maintain scalable microservices in cloud environments, implement integration patterns, and enhance the search platform with ML and AI capabilities, while also mentoring junior engineers.
The role requires a Senior Engineer with over 5 years of experience in AI and ML projects, focusing on Computer Vision, NLP, and Generative AI. The candidate should have strong knowledge of software architecture and at least 2 years of experience with AI cloud platforms as well as MLOps processes. Familiarity with time series and traditional ML models is a plus.
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.
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 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 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 Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.
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 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.
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 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.
As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.
As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.
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.
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