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Urgent Opening for MLops Engineer in Austin, TX (ONSITE) at Austin, Texas, USA
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Bharani,

Vy Systems

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Role: MLops Engineer

Location: Austin, TX (ONSITE)

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Proven experience as an MLOps Engineer or in a similar role.

Hands-on experience with ML model deployment and lifecycle management.

Proficiency in programming languages such as Python, Java.

Experience with ML frameworks such as TensorFlow, PyTorch.

Familiarity with containerization and orchestration tools (Docker, Kubernetes).

Experience with cloud platforms (AWS, GCP, Azure).

Experience with large language models (LLMs) and their performance optimization.

Keywords: machine learning Texas
Urgent Opening for MLops Engineer in Austin, TX (ONSITE)
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Thu Jul 18 20:41:00 UTC 2024

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Location: Austin, Texas