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Top Machine Learning Jobs in Bursa
As a Senior ML Engineer, you will lead the development of the company's computer vision capabilities, managing data labeling, building ML training pipelines, and ensuring models are deployed and maintained effectively to support key client features.
The Research Engineer at Autodesk will lead engineering projects focused on data acquisition, processing, and experimentation to build ML-powered product features. This role involves organizing diverse datasets into unified formats suitable for machine learning while collaborating closely with researchers. Responsibilities include developing pipelines, conducting experiments, and ensuring data compliance.
The R&D Engineer will conduct research in wired/wireless networking and data science, focusing on technologies like 5G and IoT. Responsibilities include generating research proposals, coordinating projects, and collaborating with various partners. The role requires strong analytical skills, good communication, and article writing capabilities.
The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.
As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.
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 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.
As a Senior ML Platform Engineer, you'll enhance the ML platform to support research teams, managing cloud infrastructure and tooling for data collection and model training. You will ensure seamless operations for researchers by maintaining and improving the infrastructure for GPU clusters in a cloud environment.
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.
As a Machine Learning Engineer at Autodesk, you will develop ML-powered product features, collaborate on cutting-edge research projects, construct ML pipelines, process data, and analyze errors for solutions. You will work closely with researchers and engineers to document methods and results effectively.
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.
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.
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