Job Description

Role & responsibilities

Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.

Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.

Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators

Preferred candidate profile

Strong Experience in machine learning operations

Job Overview

Role & responsibilities

Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.

Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.

Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators

Preferred candidate profile

Strong Experience in machine learning operations

Roles & Responsibilities

Role & responsibilities

Model fine-tuning: Use popular open source libraries such as Hugging Face Transformers, DeepSpeed, PyTorch, TensorFlow and JAX to fine-tune and improve model performance.

Model review and governance: Track model and pipeline lineage and versions, and manage those artifacts and transitions through their life-cycle. Discover, share and collaborate across ML models with the help of an open source MLOps platform such as MLflow.

Model inference and serving: Manage the frequency of model refresh, inference request times and similar production specifics in testing and QA. Use CI/CD tools such as repos and orchestrators

Preferred candidate profile

Strong Experience in machine learning operations