Remote Freedom

AI/ML Engineer

DocuSketch

Work from anywhereFull-time1w ago

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Requirements

  • Bachelor's Degree in Computer Science or equivalent experienceMust
  • 5+ years of experience developing and training machine learning modelsMust
  • Strong experience with PyTorchMust
  • Strong experience in PythonMust
  • Experience with 3D computer vision algorithmsMust
  • Excellent math skillsMust
  • Self-motivated and energeticMust
  • Team player with cooperative attitudeMust
  • Excellent communication skillsMust
  • Excellent organizational skillsMust
  • Solid command of the English languageMust
  • Experience with training machine learning models on equirectangular images
  • Familiarity with building big data systems
  • Experience training very large models using multiple GPUs in the cloud

What you'll do

  • Research, train and deploy state-of-the-art machine learning models for object detection
  • Work with equirectangular, phone, or satellite images to detect objects in buildings
  • Solve complex 3D geometry problems
  • Prototype new ideas and technologies to create proof of concept and demos
  • Collaborate with labeling team to ensure data quality

Keywords

Object detection3D perceptionDeep learning frameworks

About the role

The fastest-growing European SaaS company is searching for an AI/ML Engineer !  You can be our perfect match!  About DocuSketch : DocuSketch , with its European Headquarters in Potsdam, Germany, is a leading European software technology provider for the digital real estate economy. With our product brands Immoviewer and DocuSketch , we have become one of the most successful and fastest-growing software vendors in the rapidly expanding property tech sector. Our enthusiastic customer base is located across Europe and North America. DocuSketch 's groundbreaking digital technology greatly facilitates real estate companies and building restoration companies to digitize, visualize, and virtualize real estate properties. Our solutions help our clients realize tremendous cost-saving potentials, process optimization, and revenue growth. You’ll be working in a team that drives the company's AI development to developalgorithms for a variety of different use cases. This includes e.g. working withequirectangular, phone, or satellite images to detect doors, windows, or other objects insideof buildings or finding facets on the roof. You’ll be challenged by solving complex 3Dgeometry problems and working closely with our labeling team to ensure the best possibledata quality. Responsibilities and Duties: ·Research, train and deploy state-of-the-art machine learning models for objectdetection and 3D perception on equirectangular images ·Quickly prototype new ideas/technologies to create proof of concept and demos Qualifications: ·Bachelor’s Degree in Computer Science or equivalent experience ·Excellent math skills ·Experience with 3D computer vision algorithms ·Preferably 5+ years of experience developing and training machine learning models ·StrongExperience with Deep ML frameworks (PyTorch) ·Strong Experience in Python ·Self-motivated and energetic team player with a strong work ethic and cooperativeattitude ·Excellent communication and organizational skills Plus: ·Familiarity with building big data systems ·Training very large models using multiple GPUs in the cloud ·Experience with training machine learning models on equirectangular images We are seeking a performance-driven, high-energy personality who has several years of experience in the field. Since you will work intensely with teams from many countries solid command of the English language is a prerequisite. We offer attractive compensation, unlimited career opportunities, and the possibility to work in one of the most exciting software companies in the industry. The position will be remote in any location of choice in Europe (outside Russia, Belarus, and Ukraine). Our headquarters are in Berlin, Germany, with major offices in Belgrade, Serbia, Lakeland, Florida, and in Canada.  We look forward to receiving your application! Originally posted on Himalayas

Sourced from Himalayas. Confirm the details and apply on the employer's site.