Top Machine Learning Jobs in Germany

As a Data & Analytics Analyst, you'll collaborate with clients to create tailored solutions, implement prototypes, and share ideas to solve analytical challenges.

The role involves leading the development of robotic solutions in agriculture, fostering innovation, building teams, and reporting progress to management.

As a Senior Software Engineer at NVIDIA, you will enhance customer solutions by developing sustainable, production-quality software and collaborating with various engineering teams.

As a Datacloud and Agentforce Solutions Architect, you will support the sales cycle by designing POCs, advising technical stakeholders, and driving innovation in data and AI solutions.

As a Senior Program Manager, lead data-driven projects in analytics and innovation, collaborating with stakeholders and managing cross-functional teams.

Lead the development of logistics optimization systems, ensuring efficient delivery routing by collaborating across teams and using data-driven strategies to meet company goals.

Support EEG and fNIRS data acquisition, quality control, and curation. Develop workflows, implement quality metrics, and prepare datasets for AI applications.

As a Solutions Architect at NVIDIA, you will provide technical guidance, develop AI solutions for financial services, and support stakeholders.

Drive commercial adoption of foundation models, engage commercial accounts, support sales cycles, and communicate technical value to clients.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

The Technical Writer will create customer-facing documentation, collaborate with teams to improve user experience, and establish writing best practices.

The Refining and Petrochemical Process Optimization Engineer analyzes process data, works on AI-driven optimization models, and collaborates with clients to improve operations and drive efficiency.

Develop and validate novel computational methods for antibody engineering, integrating machine learning with molecular dynamics workflows, while conducting experimental lab work.

Lead cross-department projects testing low voltage electrical systems in vehicles, develop capabilities, conduct market analysis, and manage training teams.

Lead the development of a unified discovery engine, managing a team of product managers to enhance search and recommendation systems, while driving commercial impact and stakeholder alignment.

As an intern, you'll support the development of machine learning algorithms, particularly in object detection, while engaging in literature research and collaboration with experts.

Design and develop image/video diffusion models, perform large-scale model training, maintain data for training, and optimize models for production use.

Intern position focusing on AI/ML solutions for Electronic Design Automation. Responsibilities include research, prototyping, and collaboration on silicon design improvements.

The role entails supporting analytics initiatives to improve sales performance, developing data-driven tools, and mentoring analytics professionals. Responsibilities include project management, creating dashboards, and collaborating with teams to enhance customer interactions.

Lead data annotation projects supporting speech AI, ensuring high quality and consistency in data delivery while collaborating with multiple teams.

Kittl seeks innovative individuals for engineering and product roles. Applicants should show passion for design, ownership, and collaboration. Areas include frontend, backend, full stack, data, and product management.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

The job involves expertise in Generative AI, Machine Learning, and ServiceNow to implement AI workflows, requiring strong German language skills.

The Senior AI Engineer will develop AI features, fine-tune models, integrate LLMs, and mentor team members, influencing corporate responsibility through technology.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.