Job Description
Senior Machine Learning Engineer
We are looking for an experienced Senior Machine Learning Engineer to join our team. The ideal candidate should have a strong background in machine learning and a solid foundation in software engineering.
Responsibilities
– Develop, implement and maintain machine learning models and algorithms
– Work closely with cross-functional teams to design and deliver end-to-end machine learning solutions
– Build, train, evaluate and optimize deep learning models using PyTorch
– Deploy and manage machine learning models at scale on GCP using Kubernetes and other related technologies
– Collaborate with other engineers to design and optimize data pipelines and infrastructure for machine learning applications
Qualifications
– Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or related fields
– 5+ years of experience in machine learning, with a focus on deep learning and neural networks
– Strong programming skills in Python and experience with PyTorch, TensorFlow or other deep learning frameworks
– Experience deploying and managing machine learning models at scale on GCP using Kubernetes and other related technologies
– Experience in data engineering, data processing and big data technologies
– Strong problem-solving skills and ability to work in a cross-functional team environment
If you are passionate about machine learning and have the skills and experience we are looking for, please apply today!
Job Description
Senior Machine Learning Engineer
We are looking for an experienced Senior Machine Learning Engineer to join our team. The ideal candidate should have a strong background in machine learning and a solid foundation in software engineering.
Responsibilities
– Develop, implement and maintain machine learning models and algorithms
– Work closely with cross-functional teams to design and deliver end-to-end machine learning solutions
– Build, train, evaluate and optimize deep learning models using PyTorch
– Deploy and manage machine learning models at scale on GCP using Kubernetes and other related technologies
– Collaborate with other engineers to design and optimize data pipelines and infrastructure for machine learning applications
Qualifications
– Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or related fields
– 5+ years of experience in machine learning, with a focus on deep learning and neural networks
– Strong programming skills in Python and experience with PyTorch, TensorFlow or other deep learning frameworks
– Experience deploying and managing machine learning models at scale on GCP using Kubernetes and other related technologies
– Experience in data engineering, data processing and big data technologies
– Strong problem-solving skills and ability to work in a cross-functional team environment
If you are passionate about machine learning and have the skills and experience we are looking for, please apply today!
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