AI engineer

MACHINE LEARNING TECHNOLOGIES LLC; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Atlanta, GA is seeking a Senior AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions. You will work with product, data, and engineering teams on production-grade systems, with a focus on ML algorithms, NLP, and Generative AI.

The role emphasizes end-to-end ML pipelines, prompt engineering, RAG, vector databases, and responsible AI practices. Collaboration with data engineers and ongoing mentorship of junior engineers are key components of

Qualifications

• Senior AI/ML Engineer with experience in machine learning algorithms, deep learning, NLP, Generative AI, and production‑grade ML systems.
• Experience designing end-to-end ML pipelines including data ingestion, feature engineering, training, validation, and deployment.
• Familiarity with prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases.

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.
• Implement Generative AI solutions using LLMs (OpenAI, Claude, Gemini, LLaMA, etc.).
• 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.
• Deploy ML models using MLOps best practices (CI/CD, monitoring, retraining).
• 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.

Job description

Job Description

Job Overview

Job ID: J53124

Job Title: AI engineer

Location: Atlanta, GA

Duration: 12 Months + Extension

Domain Exposure: Telecom

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Job Summary

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.
• Implement Generative AI solutions using LLMs (OpenAI, Claude, Gemini, LLaMA, etc.).
• 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.
• Deploy ML models using MLOps best practices (CI/CD, monitoring, retraining).
• 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.

Equal Opportunity Employer

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.