ML/AI Engineer - Junior Level at Jobgether

We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

ML/AI Engineer - Junior Level at Jobgether. This position is posted by Jobgether on behalf of . SynergisticIT. . We are currently looking for a . ML/AI Engineer. in . Colorado (USA). .. This role is perfect for early-career developers or recent graduates who want to specialize in machine learning, artificial intelligence, and cloud-integrated backend development. You will work on real-world projects that combine Java, DevOps, and AI/ML technologies, gaining hands-on experience with scalable APIs, cloud deployment, and CI/CD automation. The position offers mentorship, project-based learning, and opportunities to collaborate with experienced engineers while building a portfolio of production-ready applications. You will develop advanced technical skills, strengthen problem-solving capabilities, and gain the experience necessary to accelerate your tech career in high-demand fields.. Accountabilities:. As an ML/AI Engineer, your responsibilities include:. . Developing and deploying machine learning and AI solutions in cloud environments such as AWS or Azure.. . Building scalable APIs and backend systems using Java, Spring Boot, and microservices architecture.. . Managing CI/CD pipelines with tools like Jenkins, Docker, GitHub Actions, and Kubernetes.. . Integrating DevOps practices into software development workflows for automated testing and deployment.. . Collaborating with cross-functional teams to implement real-world AI/ML use cases.. . Writing clean, maintainable code and participating in code reviews to ensure software quality.. . Maintaining documentation, project artifacts, and contributing to knowledge-sharing sessions.. . The ideal candidate will have:. . A Bachelor’s degree in Computer Science, Engineering, Mathematics, or related fields.. . Hands-on experience or coursework in Java, Spring Boot, REST APIs, and microservices architecture.. . Familiarity with DevOps tools and cloud platforms, including Docker, Jenkins, Kubernetes, AWS, or Azure.. . Exposure to machine learning and AI concepts, Python, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).. . Understanding of CI/CD pipelines, automated testing, and software deployment processes.. . Strong problem-solving skills, analytical thinking, and a collaborative mindset.. . Enthusiasm for learning, mentorship, and applying AI/ML techniques to practical software solutions.. . Company Location: United States.