Senior MLOps Engineer
New
F
FactoredAI/ML Engineering
Location: Latin AmericaFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Required Skills
- AWSDockerPythonJavaKubernetesPyTorchTensorflowRscikit-learnMLOps
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience as MLOps Engineer, demonstrating successful development and maintenance of machine learning models.
- Strong programming skills in languages such as Python, R, or Java.
- Experience with machine learning libraries/frameworks like TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
- Experience with cloud platforms (e.g., AWS, Azure, GCP), Kubernetes, and Docker.
- Excellent verbal and written communication skills in English.
Responsibilities
- Deploy machine learning models to production environments using industry best practices.
- Design and implement automated workflows for model training, testing, and deployment.
- Manage and optimize the infrastructure supporting machine learning workloads.
- Establish monitoring systems for deployed models to ensure performance and reliability.
- Work closely with data scientists, software engineers, and cross-functional teams to understand model requirements and business objectives.
- Ensure compliance with industry regulations and data protection standards.
- Stay informed about the latest advancements in MLOps and integrate relevant technologies and methodologies.
- Continuously optimize processes to enhance efficiency and reduce deployment times.
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