Agentic AI LLM Training & Fine-Tuning Engineer

InOpTra Digital; United States; A distancia; USD 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Opportunity for remote work

Health benefits

Descripción de la vacante

A leading tech firm in the United States is seeking a skilled Data Engineer to work on AI/ML models. You will be responsible for data extraction, transformation, and feature engineering, supporting model training and evaluation. The ideal candidate will have strong Python expertise, experience with deep learning frameworks like PyTorch, and proficiency in data processing environments. This role promises to contribute to innovative projects involving large-scale data and cutting-edge AI technologies.

Formación

• Strong data engineering skills with AI and ML model building experience.
• Proficient in Python and familiar with deep learning frameworks.
• Ability to work with structured and unstructured data for analytics.

Responsabilidades

• Extract, transform, and engineer data for AI/ML models.
• Collaborate with data teams to optimize model tuning workflows.
• Architect data pipelines for large-scale text processing.

Conocimientos

Strong Python expertise

Hands-on experience in PyTorch

Deep understanding of LLM architectures

Proficiency in data processing frameworks

Experience with distributed training

Knowledge of evaluation metrics

Experience with Vector Databases

Familiarity with cloud platforms

Educación

Master’s or Ph.D. in Computer Science or related field

Herramientas

PyTorch

Hugging Face Transformers

Spark

Dask

Docker

Kubernetes

Descripción del empleo

A leading tech firm in the United States is seeking a skilled Data Engineer to work on AI/ML models. You will be responsible for data extraction, transformation, and feature engineering, supporting model training and evaluation. The ideal candidate will have strong Python expertise, experience with deep learning frameworks like PyTorch, and proficiency in data processing environments. This role promises to contribute to innovative projects involving large-scale data and cutting-edge AI technologies.