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Top Machine Learning Jobs in Romania
As an Applied Machine Learning Intern at CrowdStrike, you'll contribute to the Falcon platform by utilizing machine learning algorithms to enhance attack detection capabilities. You'll gain hands-on experience in developing predictive models, automating analyses, and leveraging AWS for feature extraction. This role offers mentorship and exposure to a collaborative team focused on innovation in cybersecurity.
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 Senior Machine Learning Engineer is responsible for developing AI technologies to assess ESG performance of companies. They will create production-ready ML models, adapt and fine-tune models, propose new architectures, collaborate with various teams, and drive innovation through experiments.
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 Senior Technical Project Manager will lead and manage data science projects, ensuring alignment with organizational priorities, facilitating communication between teams and stakeholders, promoting cross-functional collaboration, and ensuring the scalable implementation of solutions.
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.
The Supply Chain Reporting Specialist is responsible for maintaining BI reports, analyzing and reporting large datasets for supply chain decisions, defining metrics and dashboards, and identifying improvement areas. This role supports data integrity and develops analytical tools, collaborating with various functions within the organization.
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.
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.
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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