Machine Learning Engineer – AI

This is a fully remote position, open to applicants in India.

📋 Description

• Refine and train SLMs utilizing Hugging Face, TRL, and adapter techniques such as LoRA, QLoRA, and PEFT.

• Enhance models for inference through quantization, pruning, and knowledge distillation.

• Deploy models to edge devices, mobile platforms, and local servers while adhering to strict latency requirements.

• Construct comprehensive end-to-end MLOps pipelines from data ingestion to deployment.

• Oversee model accuracy, latency, and hardware usage in a production environment.

• Assess model quality via benchmarking frameworks and custom evaluation suites.

⛳️ Requirements

• Proven experience in training and fine-tuning SLMs with Hugging Face.

• Familiarity with adapters and adapter techniques, including LoRA, QLoRA, and PEFT.

• Proficiency in implementing quantization, pruning, knowledge distillation, and model optimization strategies.

• Experience in deploying models to edge devices, mobile applications, and local servers.

• Capability to construct end-to-end MLOps pipelines from data ingestion through to deployment.

• Competence in monitoring model accuracy, latency, and CPU/GPU performance during production.

• Preferred experience in deployment within edge or mobile environments.

• Familiarity with ONNX export and cross-platform inference is a plus.

• Knowledge of MLOps tools, including experiment tracking, model registries, and CI/CD processes for ML, is preferred.

🏝️ Benefits

• Commitment to equal employment opportunities and diversity and inclusion initiatives.

• Access to Global Egnyte Employee Communities (EECs) that promote representation and inclusion.

• Chance to contribute to a secure multi-cloud content security and governance platform.