Junior AI Engineer: Build Scalable AI Solutions

Blackstone eIT; United States; A distancia; USD 90.000 - 180.000; Jornada completa

Descripción de la vacante

BlackStone eIT is seeking an AI Engineer to design, develop, and implement AI solutions that address complex business challenges. You will work closely with data scientists, engineers, and stakeholders to build scalable models and integrate them into our product offerings.

This role covers the full AI project lifecycle, from data collection and preprocessing to model training, deployment, and monitoring. A strong foundation in Python and ML libraries, plus collaboration and communication skills,

Formación

• 2+ years of experience in AI or machine learning engineering roles.
• Proficiency in Python and experience with libraries like TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of AI model deployment and monitoring best practices.
• Understanding of data processing, feature engineering, and model evaluation techniques.
• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong problem-solving abilities and excellent communication skills.

Responsabilidades

• Design, develop, and implement AI solutions addressing business challenges.
• Collaborate with data scientists, engineers, and stakeholders to build scalable models.
• Deploy, monitor, and iterate AI models across products.

Conocimientos

Python programming

TensorFlow

PyTorch

Scikit-learn

ML deployment

Data processing

Communication skills

Educación

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or related field

Herramientas

Docker

AWS

Azure

GCP

Descripción del empleo

BlackStone eIT is seeking an AI Engineer to design, develop, and implement AI solutions that address complex business challenges. You will work closely with data scientists, engineers, and stakeholders to build scalable models and integrate them into our product offerings.

This role covers the full AI project lifecycle, from data collection and preprocessing to model training, deployment, and monitoring. A strong foundation in Python and ML libraries, plus collaboration and communication skills,