Description

You will manage the lifecycle of machine learning models with a focus on NLP and large-scale deployment.

This role is remote.

Responsibilities

• Fine-tune and run large-scale training jobs for transformer-based models.
• Manage model servers such as vLLM, TGI, or TorchServe.
• Execute model analysis and experimentation using specialized frameworks.
• Maintain data security and integrity within a Linux environment.
• Work across relational and non-relational database systems.

Required Skills

• 5+ years of experience as an MLOps Engineer.
• 3+ years of experience with NLP and transformer-based models.
• Extensive experience with TensorFlow or PyTorch.
• Proficiency with Pandas, NumPy, SciPy, and Notebooks.
• Experience with HuggingFace.
• Familiarity with Linux environments and stringent data security practices.
• Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent experience.
• Fluent English communication skills.

Preferred Skills

• Experience in a healthcare context.
• Knowledge of MLFlow, W&B, or TFMA.

Key Skills

Education

Any Graduate