

New York Technology Partners
AI/ML Engineer - Georgia Local Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer with a contract length of "unknown," based in "Georgia." Key skills include Python, LLM integration, API development, and experience in Agile environments. Finance domain experience is preferred. Pay rate is "unknown."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Alpharetta, GA
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🧠 - Skills detailed
#REST API #Agile #AI (Artificial Intelligence) #Angular #GitHub #REST (Representational State Transfer) #Microservices #Java #Cloud #Kafka (Apache Kafka) #Spring Boot #Kubernetes #Data Pipeline #Python #API (Application Programming Interface) #ML (Machine Learning)
Role description
Position Overview
We are seeking a highly skilled AIML Engineer with strong hands‑on experience in Python, modern AI/LLM integration, API development, and distributed data technologies. This role will focus on building, integrating, and deploying AI/ML models—particularly those involving Large Language Models (LLMs), agentic AI workflows, and real‑time data pipelines.
The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservices‑based APIs. Experience working in Agile environments and collaborating with cross‑functional teams is essential.
Python
Experience in Integration LLM
FAST API
Kafka Integration
Rest API Integration for ML Models
GitHub and CoPilot
Agentic AI Implementation
Good‑to‑Have Skills
Java/Angular
Spring Boot
CI/CD
Containerization (Docket, Kubernetes)
Cloud ML platforms
Finance domain Experience
Position Overview
We are seeking a highly skilled AIML Engineer with strong hands‑on experience in Python, modern AI/LLM integration, API development, and distributed data technologies. This role will focus on building, integrating, and deploying AI/ML models—particularly those involving Large Language Models (LLMs), agentic AI workflows, and real‑time data pipelines.
The ideal candidate will have a strong engineering background with a deep understanding of ML systems design, inferencing pipelines, and microservices‑based APIs. Experience working in Agile environments and collaborating with cross‑functional teams is essential.
Python
Experience in Integration LLM
FAST API
Kafka Integration
Rest API Integration for ML Models
GitHub and CoPilot
Agentic AI Implementation
Good‑to‑Have Skills
Java/Angular
Spring Boot
CI/CD
Containerization (Docket, Kubernetes)
Cloud ML platforms
Finance domain Experience





