Remote Transformer AI Engineer (MLOps)

OneSeven Tech; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote work

Contract-to-full-time

Paid time off

Referral bonus

Job summary

OneSeven Tech is seeking an experienced machine learning engineer to design and productionize deep learning and Transformer models. You will build robust ML systems, profile performance, and ensure secure API serving in a remote, international setting.

The role emphasizes reproducible experiment workflows with MLflow/DVC, collaboration in fast delivery cycles, and hands-on work with PyTorch or TensorFlow and the Hugging Face ecosystem. Remote work from anywhere in Latin America is supported.

Qualifications

• Proficiency with PyTorch or TensorFlow and Hugging Face.
• Advanced Python including OO and asynchronous programming.
• Expert knowledge of MLflow Tracking, Projects, and Models.
• Experience with Git workflows and DVC.
• Strong grounding in attention mechanisms and linear algebra.
• Docker proficiency and building secure model-serving APIs.

Responsibilities

• Design and implement deep learning and Transformer models, comparing results with classical ML baselines.
• Create reproducible experiment and model lifecycle workflows using MLflow and DVC.
• Build, profile, and secure REST or gRPC APIs for production model serving.
• Collaborate across disciplines in short, one-week delivery cycles to bring robust systems into use.

Skills

PyTorch

TensorFlow

Hugging Face

Python advanced

Async programming

MLflow

Git workflows

DVC

Docker

Attention mechanisms

Linear algebra

Tools

MLflow

DVC

REST APIs/gRPC

Job description

OneSeven Tech is seeking an experienced machine learning engineer to design and productionize deep learning and Transformer models. You will build robust ML systems, profile performance, and ensure secure API serving in a remote, international setting.

The role emphasizes reproducible experiment workflows with MLflow/DVC, collaboration in fast delivery cycles, and hands-on work with PyTorch or TensorFlow and the Hugging Face ecosystem. Remote work from anywhere in Latin America is supported.