Lead ML Engineer
Machinify- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Candidates must possess a Bachelor’s degree in Computer Science, Mathematics, Physics, or a related field, and a Master’s degree in Data Science, AI, or a related field is desirable. Strong understanding and experience in machine learning and MLOps are required, along with proficiency in Python and experience with ML frameworks. Experience with Azure, ML lifecycle management tools, and containerization tools is also necessary. Experience with big data technologies and data quality/compliance is a plus.
As a Data Scientist - Machine Learning Engineer, you will collaborate with cross-functional teams to support the design and integration of responsible ML solutions into company products, design, develop, deploy, and maintain machine learning models to solve diverse business challenges, implement ML workflows using MLOps best practices, ensure reproducibility, performance, reliability, scalability, and security of ML models in production, implement responsible AI principles, and stay up-to-date with the latest trends and advancements in machine learning and MLOps.
Real-time platform for interactive content
Unity Technologies provides a platform for creating 2D, 3D, virtual reality (VR), and augmented reality (AR) content. Its main product is a real-time development platform that allows users to build and deploy interactive content across various devices, including mobile phones, PCs, and gaming consoles. Unity operates on a subscription model, offering different plans to cater to the needs of hobbyists, professional developers, and large enterprises, including free options for smaller developers. The company stands out from competitors by serving a wide range of industries, such as gaming, film, automotive, architecture, engineering, and construction, making it a versatile tool for many applications. Unity's goal is to empower creators by providing them with the tools and support needed to bring their ideas to life.