
Alpha3D

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About
Alpha3D is a generative AI platform that transforms text prompts and 2D images into high-quality 3D models. It's designed for game developers and content creators, offering a fast, affordable, and user-friendly way to create 3D assets without needing 3D modeling expertise. The platform boasts significant cost savings (up to 100x cheaper) and increased speed (10x faster) compared to traditional methods. Alpha3D's models are compatible with various 3D environments, including AR, VR, and the Metaverse, and users can create their first 50 3D assets for free.
Platform
Features
• user-friendly interface
• up to 100x cheaper than traditional methods
• game-ready assets
• generates 3d models from 2d images
• generates 3d models from text prompts
• ar/vr/metaverse support
• compatible with any 3d environment
• no 3d modeling experience needed
Pricing Plans
Job Opportunities
Data Engineer
Generate game-ready 3D models from text or images using AI. Fast, affordable, and easy to use, even for beginners.
Benefits:
Friendly and international working environment
Freedom to work from anywhere in the world
Flexible working hours
A chance to contribute to both business and AI development
The opportunity to grow your role within the company as we scale
Experience Requirements:
Previous experience as a data engineer or in a similar role
Other Requirements:
Strong programming skills in languages such as Python (a plus if you know Java)
Experience with data processing frameworks and tools (e.g., Apache Spark, Hadoop, or Flink)
Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or NoSQL databases)
Familiarity with data integration and ETL tools (e.g., Apache Airflow, Informatica, or Talend)
Knowledge of cloud platforms and services for data engineering (e.g., AWS, Azure, or Google Cloud)
Understanding of distributed systems and parallel computing concepts
Experience with data modelling and schema design
Solid understanding of data governance, data security, and privacy best practices
Great numerical and analytical skills
Good English and communication skills
Responsibilities:
Designing, developing, and maintaining scalable and efficient data pipelines and ETL processes
Collaborating with data scientists and analysts to understand data requirements and implement appropriate solutions
Building and optimizing data storage and retrieval systems, including databases, data lakes, and data warehouses
Ensuring data quality and consistency by implementing data validation and cleansing processes
Monitoring and troubleshooting data pipelines to ensure their smooth and reliable operation
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