AI/ML Engineer or Java Full Stack

Nmk Global Inc.

Alpharetta, GA, United States

30 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$86,600.0 - $144,400.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

HTML Java (Programming Language) JavaScript (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Application Performance Management Microsoft Azure Cascading Style Sheets (CSS) Cloud Computing Cloud Engineering

+34 more

Continuous Integration DevOps Github Hibernate (Java) Junit PostgreSQL Machine Learning MongoDB MySQL Mockito Ansible SQL Databases TypeScript Google Cloud Enterprise Software Applications Postman Spring-mvc ReactJS Large Language Models Grafana Spring-boot Software Security Backend Kubernetes Apache Kafka Virtual Agents Restful APIs Terraform Cucumber (Software) Splunk New Relic (SaaS) Docker Jenkins Microservices

Job description

We are looking for an AI/ML Engineer with strong Java Full Stack development experience to build AI-powered, cloud-native enterprise applications. The ideal candidate should have expertise in Java, Spring Boot, React, Microservices, AI/ML, LLMs, Cloud (AWS/Azure/GCP), DevOps, and CI/CD, with experience developing scalable and secure applications in Agile environments., * Design, develop, test, and deploy enterprise applications.

Build Agentic AI and AI-powered solutions using LLMs and OpenAI APIs.
Develop backend services using Java, Spring Boot, Hibernate, and Microservices.
Build responsive frontend applications using React, TypeScript, HTML, CSS, and JavaScript.
Develop REST APIs and event-driven applications using Apache Kafka.
Deploy and manage applications on AWS, Azure, and GCP.
Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps.
Collaborate with Agile teams and ensure application performance, scalability, and reliability.