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RARR Technologies

MLops Engineer

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Job Description

  • 5 years of experience in MLOps and building ML pipelines
  • Deep understanding of the MLOps lifecycle and automation of ML workflows
  • Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow
  • Strong experience in GPU accelerators and CUDA for model training and optimization
  • Proven experience in model monitoring drift detection and maintaining model accuracy over time
  • Familiarity with CICD pipelines Docker Kubernetes and cloud infrastructure
  • Strong problem solving skills with the ability to work in a fastpaced environment

Preferred Qualifications

  • Experience with tools like Evidently AI for model monitoring and drift detection
  • Knowledge of data versioning and model version control techniques
  • Familiarity with TensorFlow Extended TFX or other ML workflow orchestration frameworks

Excellent communication and collaboration skills with the ability to work crossfunctionally across teams

More Info

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Open to candidates from:
Indian

About Company

At RARR Technologies Pvt. Ltd., we believe in the power of collaboration and open communication. Our collaborative approach enables us to deeply understand our clients requirements, allowing us to craft software products that are not only technically superior but also align perfectly with their business goals. By combining our expertise with a meticulous attention to detail, we ensure that every line of code we write contributes to the creation of robust, scalable, and future-proof digital solutions that stand the test of time.

Job ID: 112829211

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