AI Engineering Leader for Large-Scale Distributed Systems
1 month ago
We are seeking a seasoned AI engineer to lead the development of large-scale distributed systems, leveraging their expertise in machine learning and software design. With 15+ years of experience in software development, the ideal candidate will have hands-on experience designing, developing, and maintaining services on public cloud platforms such as AWS, Azure, or Oracle.
The successful candidate will possess strong skills in programming languages such as Python, Java, and ML frameworks like TensorFlow, PyTorch, or scikit-learn. Additionally, they should have knowledge of containerization and orchestration technologies like Kubernetes and Docker.
As an AI engineering leader, you will be responsible for building and maintaining scalable ML infrastructure and platforms for managing and deploying models in production environments. This includes designing, implementing, and optimizing AI services and ML engineering platforms for data processing, feature engineering, model training, and inference.
You will work closely with cross-functional teams to translate business needs into advanced machine learning AI services and provide strong algorithmic and coding execution. Experience working on large-scale, highly distributed services infrastructure is essential, as well as proven ability to deliver products through the full software development lifecycle.
A bachelor's or master's degree in Computer Science or a relevant technical field involving coding is required, along with 15+ years of total experience in software development. The estimated salary for this position is $250,000 - $300,000 per year, commensurate with experience.
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