AI/ML Software Engineer (United States)

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Seeking an AI/ML Software Engineer in the US to design, develop, and deploy secure, scalable software and data systems. This role involves integrating AI/ML models, analytics, and simulation environments in distributed, secure settings. Requires strong coding skills, cloud-native experience, and a passion for solving complex technical problems.

Key Highlights

Contribute to design, development, and deployment of secure, scalable software and data systems.

Integrate AI/ML models, analytics pipelines, and simulation environments.

Operate in secure, distributed environments and collaborate with cross-functional teams.

Technical Skills Required

Java Python C++ TypeScript Angular Docker Kubernetes Kafka Redis PostgreSQL MongoDB Graph DBs CI/CD

Benefits & Perks

Competitive salary with potential for performance bonuses

Fully remote work

Flexible scheduling

Opportunity to work with advanced AI/ML systems

Professional growth through high-impact projects

Collaborative and innovative work environment

Exposure to cutting-edge cloud, containerization, and DevSecOps practices

Job Description

This role offers the opportunity to contribute to the design, development, and deployment of secure, scalable software and data systems that support mission-critical operations. You will work on complex projects integrating AI/ML models, analytics pipelines, and simulation environments, providing hands-on engineering expertise from end to end. Operating in secure, distributed environments, you will collaborate with cross-functional teams to ensure interoperability, maintainability, and reliability of software solutions. This position blends modern software development practices, cloud-native deployments, and containerized architectures with rigorous standards for security and performance. Ideal candidates are passionate about coding, solving challenging technical problems, and optimizing systems for real-time mission impact in high-stakes environments.

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