Top Machine Learning Jobs in Berlin

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.

The Senior ML Engineer will own the components of the Machine Learning pipeline, involving research in Deep Learning, processing multi-modal data, and training models. Responsibilities include developing and deploying models, enhancing accuracy, mentoring engineers, and managing projects from spec to deployment.

The AI/ML Engineer will enhance AI capabilities at FREENOW by developing innovative tools, optimizing current AI systems such as chatbots and NLP solutions, and driving the creation of a cutting-edge AI platform. The role involves working with stakeholders to improve processes and leverage machine learning techniques for new opportunities in mobility services.

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 Engineering Manager leads a team focused on data engineering, machine learning, and web scraping. Key responsibilities include managing team performance, ensuring quality deliverables, overseeing development and data pipelines, and integrating advanced machine learning techniques. The role involves collaboration with product teams and leadership in an agile environment.

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.