AI/ML Engineer - NLP, Generative AI & LLMs

Quantum Technologies LLC; City of Albany (NY); Presencial; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Quantum Technologies LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy AI solutions. You will work with Python, ML frameworks, and cloud platforms to preprocess data, train models, and integrate them into enterprise apps.

The role involves building NLP and generative AI capabilities, deploying models via REST APIs, and collaborating with data scientists and engineers to improve accuracy and scalability.

Formación

• Experience designing and deploying ML/AI solutions.
• Develop data pipelines and feature engineering for model training.
• Ability to deploy models to cloud environments and REST APIs.

Responsabilidades

• Design, develop, and implement ML models and AI solutions.
• Build predictive models using supervised and unsupervised learning.
• Develop AI-powered applications using Python and ML frameworks.
• Work with large datasets for preprocessing, feature engineering, and training.
• Implement deep learning models with TensorFlow and PyTorch.
• Develop NLP solutions for text classification and sentiment analysis.
• Build and deploy generative AI and LLM applications.
• Develop and optimize neural networks and predictive algorithms.
• Integrate models with REST APIs and enterprise apps.
• Evaluate, validate, and tune models.

Conocimientos

Python

Machine Learning

Deep Learning

TensorFlow

PyTorch

NLP

REST APIs

Docker

Kubernetes

Pandas

NumPy

Matplotlib

Model Optimization

Herramientas

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Descripción del empleo

Quantum Technologies LLC is seeking an experienced AI/ML Engineer to design, develop, and deploy AI solutions. You will work with Python, ML frameworks, and cloud platforms to preprocess data, train models, and integrate them into enterprise apps.

The role involves building NLP and generative AI capabilities, deploying models via REST APIs, and collaborating with data scientists and engineers to improve accuracy and scalability.