Remote ML Engineer: Data & AI Pipelines

Hire Hangar, Inc.; Argentina; Remote; ARS 212,224,000 - 288,018,000; Full time

Job summary

Hire Hangar, Inc. is seeking a Machine Learning Engineer (Data & AI) to design, train, and deploy ML models and data pipelines for diverse environments.

You will work across data sourcing, cleaning, structuring, model evaluation, and production deployment, emphasizing data quality and scalable inference. The role requires strong Python and ML library experience, hands-on data engineering skills, and familiarity with MLOps tooling.

Qualifications

• Must have strong Python development experience and hands-on work with core ML libraries (e.g., PyTorch, scikit-learn).
• Solid data engineering background including SQL, ETL, and large-scale datasets.
• Experience with model training, evaluation, hyperparameter tuning, and deployment in production.

Responsibilities

• Design, build, and maintain robust data pipelines for ingestion and feature engineering.
• Develop, train, evaluate, and iterate ML models across classification, regression, clustering, and NLP tasks.
• Fine-tune pre-trained LLMs for specific use cases and datasets.
• Build and manage MLOps infrastructure including model versioning and deployment pipelines.
• Work with structured and unstructured data at scale and monitor performance in production.

Skills

Python

ML libraries

Data engineering

Experiment design

Remote collaboration

Tools

MLflow

Weights & Biases

DVC

Job description

Hire Hangar, Inc. is seeking a Machine Learning Engineer (Data & AI) to design, train, and deploy ML models and data pipelines for diverse environments.

You will work across data sourcing, cleaning, structuring, model evaluation, and production deployment, emphasizing data quality and scalable inference. The role requires strong Python and ML library experience, hands-on data engineering skills, and familiarity with MLOps tooling.