Remote Principal MLOPs Engineer
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Description:
- Architect, build, and optimize a Machine Learning inference platform.
- Collaborate with cross-functional teams to translate business objectives into engineering solutions.
- Develop high-performance, cost-effective inference systems for various models.
- Provide technical leadership and mentorship to the engineering team.
Requirements:
- Design and implement scalable ML inference systems.
- Hands-on experience with TensorFlow, Keras, or Spark MLlib.
- Strong foundation in machine learning algorithms, NLP, and statistical modeling.
- Proficiency in Java, Python, or C++.
- Experience in Apache Hadoop ecosystem and public cloud services like GCP and Vertex AI.
- Ability to tackle complex challenges and propose innovative solutions.
- Effective communication skills for remote collaboration.
Benefits:
- Opportunity to work on cutting-edge machine learning and deep learning models.
- Technical leadership and mentorship responsibilities.
- Remote work flexibility.
- Competitive salary and benefits package.
- Opportunity to work with a high-performing engineering team.
Apply now
Please, let Rackspace know you found this job
on RemoteYeah
.
This helps us grow 🌱.
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