Machine Learning Infrastructure Architect
7 hours ago
We are seeking an experienced Machine Learning Infrastructure Architect to join our team at FORDER I.T. This role involves designing, optimizing, and scaling ML infrastructure to drive advancements in our advertising technology.
About the Role:
- The successful candidate will have a strong background in machine learning, deep learning, and software engineering.
- They will be responsible for creating innovative deep learning structures, improving and scaling our ML infrastructure, and collaborating with cross-functional teams to integrate solutions into our platform.
- A key aspect of this role is staying up-to-date with the latest developments in deep learning research and incorporating them into practical applications.
Responsibilities:
- Design and implement scalable ML infrastructure that supports high-performance computing and big data technologies.
- Develop and maintain deep learning architectures using frameworks like PyTorch and TensorFlow.
- Collaborate with data scientists and software engineers to refine machine learning models and algorithms.
- Research and develop innovative techniques to address complex challenges in the advertising technology domain.
Requirements:
- Advanced degree in Computer Science, Machine Learning, or a related field.
- Demonstrated expertise in designing, optimizing, and scaling ML infrastructure.
- Proficiency in deep learning architectures and frameworks such as PyTorch and TensorFlow.
- Highly skilled in Python programming with proficiency in relevant ML libraries.
Estimated Salary: $150,000 - $200,000 per annum
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