AI/ML Engineer

Quantum Technologies. LLC; City of Albany (NY); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

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.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python

Machine Learning

Deep Learning

TensorFlow

PyTorch

NLP

REST APIs

Docker

Kubernetes

Pandas

NumPy

Matplotlib

Model Optimization

Outils

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

Description du poste

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking an experienced AI/ML Engineer to design, develop, and deploy artificial intelligence and machine learning solutions. The ideal candidate should have strong programming skills, experience with machine learning algorithms, deep learning, data processing, and model deployment.

Key Responsibilities

• Design, develop, and implement machine learning models and AI solutions.
• Build predictive models using supervised and unsupervised learning techniques.
• Develop AI-powered applications using Python and machine learning frameworks.
• Work with large datasets to perform data preprocessing, feature engineering, and model training.
• Implement deep learning models using TensorFlow and PyTorch.
• Develop Natural Language Processing (NLP) solutions for text classification and sentiment analysis.
• Build and deploy generative AI and Large Language Model (LLM) applications.
• Develop and optimize neural networks and predictive algorithms.
• Integrate AI/ML models with REST APIs and enterprise applications.
• Perform model evaluation, validation, and hyperparameter tuning.
• Deploy machine learning models using cloud platforms such as AWS, Azure, or GCP.
• Collaborate with data scientists, data engineers, and software development teams.
• Monitor model performance and improve accuracy and scalability.

Required Technical Skills

• Python, SQL, and R.
• Machine Learning and Deep Learning.
• TensorFlow, PyTorch, and Scikit-learn.
• Natural Language Processing (NLP).
• Generative AI and Large Language Models (LLMs).
• Neural Networks and Predictive Analytics.
• Pandas, NumPy, and Matplotlib.
• Feature Engineering and Model Optimization.
• REST APIs and Microservices.
• Docker and Kubernetes.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.