Q
AI engineer
Quantum Technologies. LLC
3 hours ago
Full-time
On-site
Atlanta, Georgia, United States
We are seeking a highly skilled Senior AI /ML Engineer
to design, develop, and deploy scalable Artificial Intelligence and Machine Learning 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 closely with product, data, and engineering teams to deliver intelligent, data-driven applications. Key Responsibilities
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 (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.
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to design, develop, and deploy scalable Artificial Intelligence and Machine Learning 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 closely with product, data, and engineering teams to deliver intelligent, data-driven applications. Key Responsibilities
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 (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.
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