Machine learning engineer Jobs in Lohmar

Job Requisition ID #

25WD89992

As we embark on a multi-year mission to revolutionize the Computer Aided Design (CAD) and Manufacturing (CAM) industry with Autodesk Fusion, we are excited to offer a pivotal role in our Product Development and Manufacturing Solutions division. The team you will join is spearheading the development of Fusion’s cloud-based automation and AI-powered capabilities.

As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI / ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and secure cloud-based services. These services will be utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk’s global developer ecosystem.

Your extensive knowledge of AI / ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods, technologies, and best practices, informed by the latest AI / ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to your success.

In return, you will be part of a team committed to innovation, fast iteration times, minimal bureaucracy, and a collaborative work environment. This is your opportunity to not just witness but actively participate in the transformation of the CAD & CAM industry, making a lasting impact on the future of design and manufacturing.

Responsibilities

• Cloud-Based Data Preparation :  Design and develop a cloud-based data preparation pipeline for ML model development in the Design and Manufacture space.
• Optimization :  Optimize this pipeline for throughput, latency, and cost using published or novel and creative approaches.
• Model Development :  Develop ML models, building on the latest published research.
• Model Improvement :  Improve and customize existing models using methodologies like RAG, fine-tuning, and transfer-learning.
• Integration :  Integrate existing ML models into novel applications.
• Application Development :  Develop and deploy applications that integrate AI / ML technology or models.
• Problem Solving :  Apply ML methods to address challenges in the CAD / CAM space.
• Literature Review :  Review relevant AI / ML literature and industry developments to identify emerging methods, technologies, and best practices.
• Collaboration :  Work collaboratively with cross-functional teams to integrate research findings into product development.
• Mentorship :  Mentor and guide junior researchers and engineers, fostering a culture of continuous learning and improvement.
• Publication :  Publish research findings in top-tier conferences and journals; represent Autodesk at industry and research events.

Requirements

Preferred requirements

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About Autodesk

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