A company that is at the forefront of innovation, leveraging advanced technologies to transform data into actionable insights. We are seeking a talented Machine Learning Engineer with expertise in 3D data processing to join our dynamic team and contribute to cutting-edge projects.

Job Summary:

As a Machine Learning Engineer specializing in 3D Data Processing, you will be responsible for developing and implementing machine learning models that analyze and interpret complex 3D datasets. You will work closely with cross-functional teams to design algorithms and pipelines that enhance our capabilities in areas such as computer vision, robotics, and spatial analysis.

Key Responsibilities:

Model Development:

Design, develop, and deploy machine learning models tailored for 3D data processing, including tasks like object detection, segmentation, and reconstruction. Optimize algorithms for performance and accuracy in processing large-scale 3D datasets.

Data Management:

Collect, preprocess, and manage 3D data from various sources, ensuring data quality and integrity. Implement data augmentation techniques to enhance model robustness.

Collaboration:

Work closely with data scientists, software engineers, and domain experts to identify business requirements and translate them into technical solutions. Collaborate on interdisciplinary projects that leverage 3D data for innovative applications.

Research and Innovation:

Stay updated with the latest advancements in machine learning and 3D data processing technologies. Experiment with new techniques and frameworks to improve existing workflows and capabilities.

Documentation and Reporting:

Document processes, methodologies, and findings to support knowledge sharing and future development. Present results and insights to stakeholders in a clear and actionable manner.

Qualifications:

Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Experience:

3+ years of experience in machine learning, with a focus on 3D data processing or computer vision. Proficiency in relevant programming languages (e.g., Python, C++) and machine learning frameworks (e.g., TensorFlow, PyTorch).

Skills:

Strong understanding of 3D data formats (e.g., point clouds, meshes) and processing techniques. Experience with computer vision algorithms and libraries (e.g., OpenCV, PCL). Familiarity with cloud platforms (e.g., AWS, Azure) for deploying machine learning models is a plus.

Certifications:

Relevant certifications in machine learning or data science are a plus.

Personal Attributes:

Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Detail-oriented with a passion for innovation and continuous learning.

What We Offer:

Competitive salary and comprehensive benefits package. Opportunities for professional development and career advancement. A collaborative and creative work environment.

is at the forefront of innovation, leveraging advanced technologies to transform data into actionable insights. We are seeking a talented Machine Learning Engineer with expertise in 3D data processing to join our dynamic team and contribute to cutting-edge projects.

Job Summary:

As a Machine Learning Engineer specializing in 3D Data Processing, you will be responsible for developing and implementing machine learning models that analyze and interpret complex 3D datasets. You will work closely with cross-functional teams to design algorithms and pipelines that enhance our capabilities in areas such as computer vision, robotics, and spatial analysis.

Key Responsibilities:

Model Development:

Design, develop, and deploy machine learning models tailored for 3D data processing, including tasks like object detection, segmentation, and reconstruction. Optimize algorithms for performance and accuracy in processing large-scale 3D datasets.

Data Management:

Collect, preprocess, and manage 3D data from various sources, ensuring data quality and integrity. Implement data augmentation techniques to enhance model robustness.

Collaboration:

Work closely with data scientists, software engineers, and domain experts to identify business requirements and translate them into technical solutions. Collaborate on interdisciplinary projects that leverage 3D data for innovative applications.

Research and Innovation:

Stay updated with the latest advancements in machine learning and 3D data processing technologies. Experiment with new techniques and frameworks to improve existing workflows and capabilities.

Documentation and Reporting:

Document processes, methodologies, and findings to support knowledge sharing and future development. Present results and insights to stakeholders in a clear and actionable manner.

Qualifications:

Education:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Experience:

3+ years of experience in machine learning, with a focus on 3D data processing or computer vision. Proficiency in relevant programming languages (e.g., Python, C++) and machine learning frameworks (e.g., TensorFlow, PyTorch).

Skills:

Strong understanding of 3D data formats (e.g., point clouds, meshes) and processing techniques. Experience with computer vision algorithms and libraries (e.g., OpenCV, PCL). Familiarity with cloud platforms (e.g., AWS, Azure) for deploying machine learning models is a plus.

Certifications:

Relevant certifications in machine learning or data science are a plus.

Personal Attributes:

Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Detail-oriented with a passion for innovation and continuous learning.

What We Offer:

Competitive salary and comprehensive benefits package. Opportunities for professional development and career advancement. A collaborative and creative work environment.