AI engineer

Quantum Technologies. LLC; Atlanta (GA); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Quantum Technologies. LLC is seeking a Senior AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions.

The ideal candidate will have strong experience in machine learning algorithms, deep learning, NLP, Generative AI, and production-grade ML systems. You will work with product, data, and engineering teams to deliver data-driven applications, build end-to-end ML pipelines, and optimize NLP systems for real-world use.

Qualifikationen

• Experience in ML algorithms, deep learning, NLP, and Generative AI.
• Proven ability to design, build, and deploy end-to-end ML pipelines.
• Experience with real-world data ingestion, feature engineering, training and deployment.
• Familiarity with governance, ethics, and data privacy in AI systems.

Aufgaben

• Design, build, train, and deploy ML and AI models for real-world applications.
• Develop end-to-end ML pipelines including data ingestion, feature engineering, training, validation, and deployment.
• Build and optimize NLP systems for chatbots, conversational AI, summarization, and information retrieval.
• Apply prompt engineering, RAG, and vector databases.
• Fine-tune transformer models and evaluate model performance.
• Collaborate with data engineers to handle large-scale structured and unstructured data.
• Optimize model performance, scalability, and inference latency.
• Mentor junior engineers and contribute to architectural decisions.
• Ensure ethical AI, data privacy, and model governance standards.

Kenntnisse

Machine learning

Deep learning

NLP

Generative AI

ML systems

Prompt engineering

Vector databases

Transformer models

Model deployment

Data handling

Jobbeschreibung

We are seeking a highly skilledSenior AI /ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate will have strong experience inmachine learning algorithms, deep learning, NLP, Generative AI , and production-grade ML systems. You will work closely with product, data, and engineering teams to deliver intelligent, data-driven applications.

Key Responsibilities

Design, build, train, and deployML and AI modelsfor real-world applications.

Developend-to-end ML pipelinesincluding data ingestion, feature engineering , training, validation, and deployment.

Build and optimizeNLP systemsfor chatbots, conversational AI , summarization, and information retrieval.

Applyprompt engineering , RAG (Retrieval Augmented Generation), and vector databases.

Fine-tune transformer models and evaluate model performance.

Collaborate with data engineers to handle large-scale structured and unstructured data.

Optimize model performance, scalability, and inference latency.

Mentor junior engineers and contribute to architectural decisions.

Ensure ethical AI , data privacy, and model governance standards.

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.